IBM
THINK.
Overview
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HQ Location
United States
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Year Founded
1911
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Company Type
Public
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Revenue
> $10b
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Employees
> 50,000
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Website
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Stock Ticker
NYSE: IBM
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Twitter Handle
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Company Description
IBM is an American multinational technology and consulting corporation that manufactures and markets computer hardware, middleware, and software, and offers infrastructure, hosting, and consulting services in areas ranging from mainframe computers to nanotechnology. IBM is intent on leading the development of a global data field.
IoT Solutions
Nine billion Internet of Things (IoT) devices today, and the number is growing. Organizations must consider how to manage the complexities of connecting to a seemingly unlimited number of devices and how to effectively integrate IoT data with data from other sources, such as internal data stores. Business value comes to those who improve their data capabilities—integration, automation, and analysis—not to those who simply connect the most devices to the network. Watson IoT is a set of capabilities that learn from, and infuse intelligence into, the physical world. Firms can securely connect, collect and process IoT data quickly and easily with the Watson IoT Platform.
The IoT generated data, and it is extremely varied, noisy, time-sensitive, and often confidential. Complexity grows as billions of devices interact in a moving world. This presents a growing challenge that will test the limits of programmable computing. Cognitive IoT is our opportunity to fully exploit this resource. Cognitive IoT is not explicitly programmed. It learns from experiences with the environment and interactions with people. It brings true Machine Learning to systems and processes so they can understand your goals, then integrate and analyze the relevant data to help you achieve them.
Key Customers
Daimler, Sogeti HighTech, Synchrony Systems
Subsidiary
IoT Snapshot
IBM is a provider of Industrial IoT analytics and modeling, application infrastructure and middleware, infrastructure as a service (iaas), cybersecurity and privacy, platform as a service (paas), functional applications, sensors, automation and control, other, networks and connectivity, robots, drones, and processors and edge intelligence technologies, and also active in the aerospace, agriculture, apparel, automotive, buildings, cement, chemicals, cities and municipalities, construction and infrastructure, consumer goods, e-commerce, education, electrical grids, electronics, equipment and machinery, finance and insurance, food and beverage, healthcare and hospitals, life sciences, marine and shipping, metals, mining, national security and defense, oil and gas, paper and pulp, pharmaceuticals, professional service, railway and metro, renewable energy, retail, security and public safety, software, telecommunications, transportation, and utilities industries.
Technologies
Analytics & Modeling
Big Data Analytics
Machine Learning
Natural Language Processing (NLP)
Computer Vision Software
Data Mining
Data-as-a-Service
Digital Twin / Simulation
Edge Analytics
Predictive Analytics
Process Analytics
Real Time Analytics
Robotic Process Automation (RPA)
Infrastructure as a Service (IaaS)
Cloud Computing
Cloud Databases
Cloud Middleware & Microservices
Cloud Storage Services
Private Cloud
Public Cloud
Virtual Private Cloud
Backup & Recovery
Hybrid Cloud
Others
Cybersecurity & Privacy
Application Security
Cloud Security
Database Security
Endpoint Security
Identity & Authentication Management
Intrusion Detection
Malware Protection
Network Security
Security Compliance
Networks & Connectivity
Cellular
Ethernet
MQTT
Network Management & Analysis Software
NFC
RFID
WiFi
Wireless Local Area Network
Functional Applications
Computerized Maintenance Management Systems (CMMS)
Enterprise Asset Management Systems (EAM)
Enterprise Resource Planning Systems (ERP)
Fleet Management Systems (FMS)
Inventory Management Systems
Manufacturing Execution Systems (MES)
Remote Monitoring & Control Systems
Warehouse Management Systems (WMS)
Sensors
Acoustic Sensors
Haptic Sensors
Level Sensors
RFID Readers
Temperature Sensors
Vibration Sensors
Voltage Sensors
Application Infrastructure & Middleware
Blockchain
API Integration & Management
Data Exchange & Integration
Data Visualization
Database Management & Storage
Event-Driven Application
Middleware, SDKs & Libraries
Platform as a Service (PaaS)
Application Development Platforms
Connectivity Platforms
Data Management Platforms
Device Management Platforms
Use Cases
Additive Manufacturing
Advanced Production Planning and Scheduling
Asset Health Management (AHM)
Asset Lifecycle Management
Automated Disease Diagnosis
Behavior & Emotion Tracking
Building Automation & Control
Building Energy Management
Campus Area Network
Chatbots
Collaborative Robotics
Computer Vision
Condition Monitoring
Construction Management
Construction Site Monitoring
Cybersecurity
Demand Planning & Forecasting
Digital Thread
Digital Twin
Edge Computing & Edge Intelligence
Energy Management System
Experimentation Automation
Facial Recognition
Factory Operations Visibility & Intelligence
Farm Monitoring & Precision Farming
Fleet Management
Flexible Manufacturing
Food Safety Management
Fraud Detection
Infrastructure Inspection
Intelligent Packaging
Intrusion Detection Systems
Inventory Management
Last Mile Delivery
Leakage & Flood Monitoring
Leasing Finance Automation
Livestock Monitoring
Machine Condition Monitoring
Machine Translation
Manufacturing Process Simulation
Manufacturing System Automation
Mass Customization
Material Handling Automation
Microgrid
Movement Prediction
Onsite Human Safety Management
Outdoor Environmental Monitoring
Personnel Tracking & Monitoring
Picking, Sorting & Positioning
Predictive Maintenance
Predictive Quality Analytics
Predictive Replenishment
Predictive Waste Reduction
Process Control & Optimization
Public Transportation Management
Public Warning & Emergency Response
Real-Time Location System (RTLS)
Regulatory Compliance Monitoring
Remote Asset Management
Remote Collaboration
Remote Control
Remote Patient Monitoring
Retail Store Automation
Root Cause Analysis & Diagnosis
Search & Rescue
Service Parts Management
Smart Campus
Smart City Operations
Smart Collateral Management
Smart Contracts
Smart Irrigation
Speech Recognition
Supply Chain Visibility
Tamper Detection
Theft Detection
Time Sensitive Networking
Track & Trace of Assets
Traffic Monitoring
Transportation Simulation
Usage-Based Insurance
Vehicle Telematics
Vehicle-to-Infrastructure
Virtual Reality
Virtual Training
Visual Quality Detection
Warehouse Automation
Water Utility Management
Functional Areas
Industries
Aerospace
Agriculture
Apparel
Automotive
Buildings
Cement
Chemicals
Cities & Municipalities
Construction & Infrastructure
Consumer Goods
E-Commerce
Education
Electrical Grids
Electronics
Equipment & Machinery
Finance & Insurance
Food & Beverage
Healthcare & Hospitals
Life Sciences
Marine & Shipping
Metals
Mining
National Security & Defense
Oil & Gas
Paper & Pulp
Pharmaceuticals
Professional Service
Railway & Metro
Renewable Energy
Retail
Security & Public Safety
Software
Telecommunications
Transportation
Utilities
Services
Technology Stack
IBM’s Technology Stack maps IBM’s participation in the analytics and modeling, application infrastructure and middleware, infrastructure as a service (iaas), cybersecurity and privacy, platform as a service (paas), functional applications, sensors, automation and control, other, networks and connectivity, robots, drones, and processors and edge intelligence IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
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Case Studies.
Case Study
Vestas: Turning Climate into Capital with Big Data
Making wind a reliable source of energy depends greatly on the placement of the wind turbines used to produce electricity. Turbulence is a significant factor as it strains turbine components, making them more likely to fail. Vestas wanted to pinpoint the optimal location for wind turbines to maximize power generation and reduce energy costs.
Case Study
Carfinder: Real-time Vehicle Tracking for AUDI
A growing range of models and ever-shorter development cycles increase the demands on the manufacturing process. As a result, tracking vehicles inside and outside manufacturing facilities is essential for delay-free quality assurance and to provide transparency throughout all manufacturing steps in the automotive industry.
Case Study
Coca-Cola Bottling Co. Consolidated Maximizes Profitability
To capitalize on sales opportunities through deeper insights into customer demand, CCBCC needed to crunch more data without increasing time-to-insight, while meeting existing service-level agreements.With so much additional sales forecasting data to process, CCBCC's nightly batch processes began to overrun—threatening to reduce the efficiency and cost-effectiveness of its supply chain processes, and to cause the IT team to miss its SLA (service-level agreement) targets.
Case Study
Ensuring System Availability For Mission Critical Applications
Among the many challenges that Day Kimball Hospital faced included difficulties in performing maintenance on their applications, system hardware and completing backups within an acceptable backup window. It was a challenge to find the downtime necessary to upgrade their firmware.
Case Study
Point Defiance Zoo & Aquarium Uses IBM Big Data Analytics to Better Engage the Millennial Visitor
On a daily basis, millions of data records are generated on visitor exhibit and special event preferences and participation in conservation initiatives. Significant visitor feedback is also generated on social channels, such as Facebook, which reveal visitor likes and dislikes and other feedback on overall zoo operations. The zoo needed a lens to focus on the actionable insights that emerge from this massive amount of information.
Case Study
IT Simplification to Improve the Healthcare Computing Environment
Increasingly sophisticated malware attacks can leave healthcare providers in a vulnerable position as they confront the critical need to improve security while also keeping IT costs under control. Concord Hospital has worked hard to cultivate a reputation for clinical and patient service excellence.As an example of its progressive approach to automating health service delivery, Hospitals & Health Networks magazine has named Concord one of the United States’ “Most Wired Hospitals” for several consecutive years. In order to maintain this level of operational excellence, Concord Hospital needed a solution to save time and resources while also improving results for software licensing, patch management, asset inventory and security configuration.
Case Study
LSE Group to develop Securities Data Blockchain Solution for European SMEs
Sharing secure and transparent critical network data across shareholder networks is difficult using traditional system. Furthermore, private SMEs lack access to public stock exchange networks or formalized credit structures.
Case Study
How Blockchain helped National Association of REALTORS Improve Member Services
The various local and state associations are independent corporations working together to deliver programs under a Code of Ethics that is over a hundred years old. There is an existing centralized database containing members’ billing information.Engagement information such as volunteerism, professional development and committee service is not shared. While sharing member engagement information is essential, it is difficult to get 1200 organizations to agree to contribute and relinquish control of their data to a single database.
Case Study
IBM GRAF from The Weather Company
The Weather Company, an IBM Business, offers the most accurate forecasts globally – more than 25 billion per day – with personalized and actionable weather data and insights. The Weather Company is challenged to accelerate the computations in weather models in order to provide more precise and accurate forecasts.Weather forecasting in the United States and other developed nations is more accurate than in other more remote parts of the world. The Weather Company saw an opportunity to advance accurate weather predictions globally by leveraging the IBM GRAF.
Case Study
Manage HVAC systems to optimize performance and save up to 40 percent
Seeking to add value beyond pump efficiency, Armstrong wanted to help customers address the issue of predictive maintenance through continuous learning to improve efficiency and by sharing best practices across industries and buildings.
Case Study
Industry 4.0 and Cognitive Manufacturing
Manufacturers are facing risky challenges associated with complex visual inspection activities. Many human inspectors, operators and engineers are needed at each manufacturer. They have a full workload of repetitive tasks aimed at identifying hundreds of defects. This results in major plant labour costs, issues with inspection accuracy and consistency, a need for employee training and potential health problems for inspections in hazardous areas.
Case Study
Predict to prevent: Transforming mining with machine learning
Mining companies have a lot of data at their disposal. Sensors are seemingly everywhere in their underground operations. But thus far it has been very hard for mining companies to capitalize on all their data because of the difficulty in making sense of it all.So what’s the most important data for mining companies? The short answer: assets. Mining is one of the most asset-intensive businesses there is. At every point in the extraction chain— drilling, cutting, crushing, screening and removing ore-bearing rock—heavy equipment is critical. And it takes a beating. When equipment breaks down, requiring unscheduled maintenance, production takes a hit, costs rise and a critical measure of capital efficiency in mining—overall equipment effectiveness (OEE)—goes down.
Case Study
Mastercard Exceeds CTR Benchmark by 54% with IBM Watson Advertising Accelerator
In the face of global challenges, brands were required to adapt their communication and outreach strategies. Mastercard, a global technology company in the payments industry, was no exception. The company needed to educate consumers about their partnership with ‘Stand Up to Cancer’ and their campaign to donate up to four million dollars to help fund cancer research. The challenge was to effectively reach and engage consumers, and to do so in a way that would resonate with them and encourage them to take action.
Case Study
Accelerating Global Growth with Efficient, Cost-Effective Trading Partner Integration in the Cloud
The Master Lock Company (TMLC), the largest global manufacturer and marketer of padlocks and personal safes, was facing challenges due to its fast-paced global growth. The company was expanding its operations in new markets across Asia, Central America, and Europe, which meant onboarding significant numbers of additional trading partners, each with their own specific local requirements. TMLC’s retail business depended on electronic data interchange (EDI) to effectively communicate with its global base of trading partners. However, with an average of 40 new trading partners to onboard every year, the company’s lean EDI team was approaching its limits. The company was aware that they would soon need to add at least three full-time equivalents (FTEs) to the EDI team just to keep up with the increasing complexity. The challenge was to find a way to manage the rising requirements without driving up costs.
Case Study
Automotive manufacturer increases productivity for cylinder-head production by 2
Daimler AG was looking for a way to maximize the number of flawlessly produced cylinder-heads at its Stuttgart factory by making targeted process adjustments. The company also wanted to increase productivity and shorten the ramp-up phase of its complex manufacturing process.
Case Study
Make the Plant Smarter - Visual Quality Inspection Replacing Traditional Ways
In the aspect of streamlined production and product quality inspection, it is sometimes necessary for human staff to observe, identify, and discover errors and omissions in the production process. No matter how strong a person's sense of responsibility is or how concentrated he/she is, he/she may be fatigued, neglected, distracted, not to mention, he may turn a blind eye to the mistakes of acquaintances, causing defective products to flow to the market. At the same time, if the all-manual inspection method is adopted on the assembly line, it is not only heavy work but also quite time-consuming. In a modern production line, such an inspection method cannot be accepted, and more importantly, it does not add any value to the production itself.
Case Study
Improving “people flow” in 1.1 million elevators globally
KONE already provided traditional maintenance services for its more than 400,000 building owner and facilities management customers, but it sought cloud-based analytics technology to capture and use the vast amount of data generated by its elevator and escalator equipment worldwide to transform its service offerings. “We knew that digitalization was changing the industry, and we wanted to become a forerunner, not a follower in this development,” says Markus Huuskonen, the Director of Maintenance Processes and Connected Services at KONE.
Case Study
Saving millions with a predictive asset monitoring and alert system
The challenge was to harvest and sift through this data, recognize the patterns that indicate a high likelihood of asset failure, identify the most urgent issues, and get the right information to its engineers with enough lead time for them to take effective action.“Before, we only used between 10 and 12 percent of the operational data we collected, which is the industry average,” comments Benn. “By the time we had searched for, collated and forwarded the right information to the right people, we might respond too late to avoid impact to operations, or have to make last-minute changes to our maintenance schedule, which reduces efficiency. Our challenge was to provide right-time, actionable, effective information proactively, rather than in a reactive or look-back assessment.”“What we wanted was a way to identify patterns in that sensor data that would give us an early warning of asset failure. We saw an opportunity to use analytics technology to extract greater value from the systems and data we already possessed, which would help us to, for example, avoid preventable failures and potentially save millions of dollars.
Case Study
Pantheon's Growth and Innovation with IBM Power Systems
Pantheon, an independent software vendor (ISV) based in the Netherlands, was experiencing rapid growth and an increasing demand for its information and communication technology (ICT) services. The company provides custom ICT solutions, including enterprise resource planning (ERP), human resource management (HRM), and customer relationship management (CRM) software for wholesale and manufacturing companies. As more organizations, particularly small and medium enterprises, were moving to a cloud or hybrid cloud infrastructure, Pantheon saw a significant rise in demand for its cloud and hosting services. This required investments in a robust cloud foundation, including the purchase of new, scalable servers and accompanying software.
Case Study
Minimizing downtime by engaging IBM Services – Technology Support
Simplifying maintenanceHana Financial Group had recently consolidated the infrastructure and resources of 11 of its affiliates at a local IBM data centre. However, the business was left with more than 100 service and maintenance contracts that needed to be reviewed and renewed periodically. These contracts also involved 100 separate bills that Hana Financial Group had to manage. Managing such a large volume of bills was cumbersome and sometimes resulted in late payments. The group wanted to improve efficiency and eliminate the overhead involved with managing these contracts by consolidating its heterogeneous IT systems and data storage systems under more consistent processes.
Case Study
Enhancing Liberal Arts Education with IBM Cloud Technologies: A Case Study of Hong Kong Shue Yan University
Hong Kong Shue Yan University (HKSYU), a liberal arts school, was faced with the challenge of teaching non-technical students how to use advanced technology to enhance their studies. In September 2020, the university launched three laboratories for the study of big data, virtual reality, and robotics with the aim of reinventing liberal arts education and staying relevant in the digital age. The Big Data Laboratory was designed to facilitate studies and support research projects requiring data analytics, machine learning, and data visualization. However, the challenge was to equip the lab with technology that both students and faculty could easily learn and use. The students and faculty members were interested in using technology to support their studies and research but found it complicated to start with.
Case Study
Leveraging AI to Upgrade Product Quality Management in Speed and Accuracy
To succeed in the fiercely competitive LCD manufacturing industry, CSOT must deliver high-quality products within a tight time frame, but time-consuming product inspections have hampered its agility. Quality inspectors had to inspect each LCD screen individually to check for flaws. This takes quite a bit of time.
Case Study
Revolutionizing Healthcare Claim Denials: Advent Health Partners' 500% Productivity Lift
Advent Health Partners, part of the Powered Health group, was facing a significant challenge due to rapid changes in healthcare regulations in the United States. The re-introduction of the Recovery Audit Contractor (RAC) program and the move to Electronic Medical Records (EMRs) had left many hospitals struggling to keep pace. This resulted in inefficiencies in the healthcare revenue cycle, with billions of dollars tied up in insurance claims denials. The situation was further complicated by the fact that hospital data, both structured and non-structured, was generally stored in siloes, with a lack of communication between different departments. Some processes were still heavily reliant on paper records. With claims-related data scattered across different locations and stored in multiple formats, it was very difficult for analysts to bring together all the information required to review a denied claim and decide whether there was a case for appealing the decision.
Case Study
Analytics-Driven Recruitment: A Case Study on British American Tobacco
British American Tobacco (BAT), a leading tobacco group, was facing a challenge in identifying and employing the best candidates for its management-level vacancies. The company was heavily reliant on third-party recruiters, contracting more than 70 separate agencies each year worldwide. This resulted in a diverse level and quality of candidates, with some regions falling below BAT's expectations. To support its long-term competitiveness, BAT aimed to implement a consistent approach to recruitment across its global operations, enabling it to identify and select the best candidates. The challenge was to encourage the best candidates to apply and to identify top performers in a large pool of applicants, especially in markets where BAT's brand was perceived less favorably.
Case Study
Barclays Enhances Customer Experience with IBM BPM Solution
Barclays, a global bank operating in over 50 countries and serving nearly 60 million customers, faced a significant challenge in improving and streamlining the customer experience. The bank's relationships with customers were multifaceted, with customers engaging with the bank through various channels such as mobile, online, and branch locations. The bank had identified 400 different customer journeys, and the challenge was to align these across the enterprise and improve them in a way that positively impacted customers quickly. The director of operations at Barclays, Mike Gamble, recognized the need to transform the bank's processes around customer journeys. He aimed to enhance the understanding of how various functions contribute to delivering customer experiences and then expedite the rollout time of these new processes to achieve the end goal for the customer.
Case Study
Transforming HR Function for Business Growth: Ashurst's Journey with IoT
Ashurst, a leading international law firm, faced a significant challenge after a major merger that almost doubled its size. The firm's HR function aimed to transform its operations to support the ongoing strategic growth objectives. The merger presented challenges in managing talent, developing skills, and rewarding performance across the global business. Each part of the business had its own systems and processes for managing absences, tracking performance, and rewarding success. This led to increased manual effort and cost, reduced ability to ensure globally consistent definitions of human capital management metrics, and difficulty in generating comprehensive reports. The firm also faced challenges in answering important questions related to employee skillsets, retention, and compensation policies across the organization.
Case Study
FMC Corporation accelerates multi-million dollar savings with SAP and IBM
FMC Corporation, a specialty chemicals manufacturing company, was facing challenges with its indirect procurement processes. The company's decentralized approach to procurement across its global business units made it difficult to manage and control how employees purchased goods and services. This lack of visibility and operational efficiency prevented FMC from leveraging its global scale to negotiate better deals with suppliers, and made it difficult for the company to understand and manage total procurement spend effectively. The company needed a solution that would allow it to take control over global sourcing and spending, and manage global procurement more efficiently through standardized, automated processes.
Case Study
Operational Outsourcing: A Catalyst for Asahi Beverages' Business Growth
Asahi Beverages, a leading beverage company in Australia and New Zealand, faced a significant challenge when it acquired several Australian beverage businesses. The enlarged group needed to streamline and optimize operations even as further acquisitions joined the family. The company relied heavily on SAP solutions to manage its extended non-alcohol business processes, from manufacturing through to sales and distribution. However, with several new companies joining the group over the past few years, the Asahi Beverages team was keen to reduce system administration effort and maintenance costs. They wanted to use the savings to invest in new business applications and services. The challenge was to cut the number of IT incidents, accelerate the time for resolution of those incidents, and release valuable time for the technical teams to focus on innovation and business development.
Case Study
Avnet's Transformation: Accelerating Customer Insights with Cloud-Based Data Analytics
Avnet, a global technology solutions provider, was facing a challenge in delivering rapid and reliable data analysis and reporting to its clients. The company's managed services clients relied on Avnet and its partners to convert their enterprise data into actionable intelligence. However, the existing hosted environment used for data warehousing and business intelligence applications was not meeting the desired performance levels. Avnet had experienced issues with their previous cloud provider, which led them to re-evaluate their hosting arrangement. The company realized that they could provide their customers with better performance and more flexibility at a more attractive price by making some changes.
Case Study
Bharti Infratel Ltd. Utilizes Business Analytics to Improve Efficiency and Reduce Costs
Bharti Infratel Ltd., a leading communications passive infrastructure provider, was facing a significant challenge in managing and maintaining its over 30,000 communication towers across India. The cost of tower infrastructure management and maintenance was consuming 60 to 70 percent of the operating budget for communications service providers. To keep rates low and expand service into more areas, providers sold off their passive infrastructure to third-party companies that now rent tower space back for a much lower rate. However, Bharti Infratel needed to keep their operating costs low as well. The company wanted to apply business analytics to spot inefficiencies, but with 16 TB of data and growing, it needed a solution that could handle high volumes and still run smoothly. Furthermore, the company had no way to identify how many low-tenancy towers it had overall due to business analytics systems being in silos across the business.
Case Study
Improving Online Customer Experience: A Case Study on American Eagle Outfitters
American Eagle Outfitters (AEO), a leading global specialty retailer, was facing challenges in delivering high-quality shopping experiences across all its digital channels. The company relied on limited information from customer feedback forms to understand digital customer experiences. This approach resulted in incomplete information, making it difficult to replicate the exact circumstances that prevented customers from successfully completing their purchases. Consequently, it was challenging to identify 'sticking points' on the online and mobile journey that frustrated customers. The company was also struggling with low conversion rates due to issues such as a corrupted shopping cart and incorrect discount codes. Additionally, AEO was facing difficulties in understanding customer interactions on the mobile channel due to the complexity of multiple mobile devices, browsers, and screen sizes.
Case Study
Proactive Road Management with Intelligent Analytics: A Case Study on ARTESP
ARTESP, the São Paulo State Transport Agency, was facing challenges in managing its vast road network, which spans over 6,400 kilometers and serves more than 20 million people across 271 cities. The agency was struggling with a lack of clear visibility into traffic and road conditions, which made it difficult to prioritize highway maintenance and management activities. This lack of clarity could potentially cause delays to inspection activities. Furthermore, the inconsistency in data reports and responses to problems by the private contractors responsible for day-to-day road maintenance, toll collection, and responding to traffic accidents, hindered ARTESP’s capacity to manage the contracts proactively and risked jeopardizing road quality. The manual effort of identifying road hazards through physical inspections and correlating service issues with accidents was increasingly time-consuming and prone to human error.
Case Study
IBM Rational Software Enhances Multiplatform Development for Business Outsourcing Company
A business outsourcing company that provides human capital management solutions, including HR, payroll, talent management, tax and benefits administration solutions, was faced with the challenge of modernizing its mainframe applications. One of the company’s groups, responsible for maintaining a complex payroll application, was tasked with providing web services for its front-end systems, which are written in Java. The payroll application runs on mainframe servers and processes payroll requests in large batches. The group, consisting of developers, testers, quality assurance staff and statutory research analysts, needed to find a development application that would facilitate this modernization effort.
Case Study
Lower Saxony Police Leverages IoT for Crime and Traffic Management
The police forces in the German federal state of Lower Saxony were facing challenges in fighting crime and improving traffic flows due to the lack of efficient use of information from various sources. The existing systems stored information about suspects, incidents, victims of crime, and traffic accidents in several systems, making it difficult for officers to gain an overview without consulting multiple data sources. This process was time-consuming and inefficient. Moreover, the technical demands for analyzing and evaluating incidents had increased over the years, necessitating a more advanced business intelligence solution. The police force needed a solution that could provide officers with individually compiled reports about specific locations and types of crimes in near real-time, supported by a unified, consistent event processing and evaluation system.
Case Study
Enhancing Employee Collaboration with IBM Connections at Christian Brothers Services
Christian Brothers Services, a nonprofit service provider to Catholic and faith-based institutions, faced a challenge with its increasingly dispersed workforce. The company needed to enhance employee access to collaboration and social networking tools. The company's field employees frequently traveled within and outside the country, and many of their customer service agents worked from home full time. The company had been relying on IBM collaboration solutions to keep its workforce connected. However, the existing system of electronic teamrooms was proving to be inefficient. If an employee was involved in multiple projects, a meeting affecting all those projects appeared on each project’s team room calendar instead of as a single entry on the person’s Notes calendar. This led to a lack of centralized information and increased difficulty in managing multiple projects.
Case Study
Intelligent Asset Management for Energy Efficiency: A Case Study of Advantech Co., Ltd.
Advantech Co., Ltd., a Taiwan-based company offering hardware, software, system integration, design services, and logistics support, was preparing to construct two new buildings. The company wanted to avoid the issues that had plagued its existing facilities, particularly in terms of energy efficiency. This was not only due to the high costs associated with wasteful operations and reactive maintenance procedures but also because of the strict energy efficiency standards imposed by the Taiwanese government for new buildings. The challenge was to develop a solution that would enable Advantech to meet these standards and improve its overall energy efficiency.
Case Study
AMOS Streamlines Accounting Workflows with SAP and IBM
Allianz Managed Operations & Services SE (AMOS), the shared service provider for Allianz Group, was faced with the challenge of facilitating compliance by rolling out new, standardized processes to accelerate reporting workflows and streamline quarter- and year-end closing processes. The company was seeking a more robust and efficient way to provide accurate reports in a timely manner. The aim was to build a best-practice approach that could meet the current reporting requirements and deliver the scalability to support future business growth. The challenge was to replace multiple processes with a single, integrated solution that could connect more than 80 source systems to the local SAP ERP and SAP Business Warehouse applications.
Case Study
Amadori Group's Innovative Use of IoT for Real-Time Consumer Engagement and Sales
Amadori Group, a leading food company in Italy, was facing the challenge of keeping pace with the changing culinary preferences and dietary needs of young people aged 25–35. The company wanted to evolve its marketing to dynamically align with these changes and sought to create engaging ways to target this segment by exploiting the potential of online marketing and social media. The goal was to boost brand visibility, encourage customer loyalty, and gauge consumers’ reactions to products and marketing campaigns. The company also wanted to monitor marketplace perceptions of the Amadori brand and maintain brand integrity and consistency across product lines. Another challenge was to keep the content current and engaging to diverse audiences.
Case Study
AMB Sports and Entertainment Group: Enhancing Fan Experience with IoT
AMB Sports and Entertainment Group (AMBSE), a subsidiary of AMB Group LLC, is responsible for managing the Atlanta Falcons Football Club, the New Atlanta Stadium project, and a future Atlanta Major League Soccer team. The group faced a significant challenge in attracting fans to the stadium, as they had to compete with high-tech, at-home, and other viewing experiences. The group needed to deploy technology that could enhance the traffic and parking experience, provide faster food and beverage service, and offer equal or better Wi-Fi connectivity than at home. The ultimate goal was to create an immersive, one-of-a-kind stadium experience that would draw fans away from their screens at home and into the stadium seats.
Case Study
Audi's Strategic Migration to IBM Private Cloud for Enhanced Business Processes
AUDI AG, a leading global car manufacturer, was facing stiff competition from low-cost manufacturers developing their own brands. To stay ahead, Audi aimed to create super-efficient business processes. The company had implemented SAP® ERP to manage various aspects of its business operations, from human resources and cost control to supply chain and plant maintenance. Over time, the SAP environment had expanded to around 100 separate systems, running on 12 HP servers with Oracle databases and an additional 24 HP blades. Audi wanted to improve its IT efficiency to reduce capital and operational costs and create a greener infrastructure, aligning with the company’s sustainability strategy. The company also aimed to increase the availability and performance of its SAP systems, making them more scalable and flexible. The IT Services Department at Audi was tasked with helping the company face several broad business challenges, including increasing demands from employees, customers, and suppliers; the need to support new technologies; rising cost pressures; and growing competition.
Case Study
Banco Galicia's Digital Transformation with SAP and IBM
Banco Galicia, one of Argentina's top three private banks, faced a significant challenge in improving the time-to-market for new financial products and services. The bank's legacy IT applications and systems were unable to support the rapid changes required to stay competitive in the market. The bank's existing software, which had been in place for over 20 years, was largely developed in-house and designed to meet past banking needs. However, the proposed new services required a customer-focused approach, and the older software could not be extended or adapted rapidly enough to provide the necessary capabilities. The bank serves a large client base, from individuals to large corporations, each with specific requirements. The existing IT systems were not flexible enough to differentiate the bank's approach to each client. The challenge was to modernize the IT infrastructure to meet the requirements of a 21st-century bank and compete with the world's major banking corporations.
Case Study
Benelux Bank: Enhancing Security and Reducing Risk with IBM Fraud Detection Solutions
A Benelux bank, providing banking, savings, investment, and pension products and services, was facing a significant challenge due to the increase in malware-based attacks in its region. The bank was particularly concerned about man-in-the-browser and man-in-the-middle attacks against its customers. While the bank had not experienced a fraud loss from these attacks, the executives were worried about the potential damage these attacks could cause to the bank and its customers. The bank had previously invested heavily in perimeter security, such as intrusion prevention systems, to prevent criminals from accessing the bank's network. However, as fraudsters began targeting bank customers through malware attacks, the bank executives realized the need to expand their security capabilities to the endpoint. The bank was only able to learn about a fraud attempt when a customer reported an issue with their account balance. Therefore, they sought an additional layer of security to gain an early warning of malware-driven attacks.
Case Study
Brazil’s REDE-LAB Identifies Illicit Assets with IBM Watson Explorer
Brazil’s Ministry of Justice, specifically the Department of Assets Recovery and International Legal Cooperation, was tasked with the challenge of identifying and investigating the illicit proceeds of criminal activities such as corruption, organized crime, drug trafficking, and money laundering. The department created the Technology Laboratory Against Money Laundering (LAB-LD) to support complex investigations into corruption and money laundering. As of 2014, there are 43 laboratories across Brazil, which make up the Federal Laboratory Network Against Money Laundering (REDE-LAB). These laboratories analyze a vast amount of data to uncover and freeze illicit assets. However, the process of analyzing the data was complex and time-consuming, often taking months and thousands of person-hours. The challenge was further compounded by the fact that 60 percent of the data came from structured sources such as databases and spreadsheets, and the remaining 40 percent from unstructured sources, such as social media and email.
Case Study
IBM Cognos TM1: Streamlining Enterprise Planning for Bugaboo
Bugaboo, a Dutch company known for its trendy pushchairs, was facing challenges in generating accurate financial and sales forecasts in a timely manner. The company's rapid growth had led to changes in planning and forecasting requirements, and the existing system, IBM Cognos Planning, was reaching its limits. Performance-related issues were causing disruptions, and any changes to the planning model required the entire system to be halted. The model was split into four geographic regions to facilitate management outside office hours, but this meant that each change had to be implemented four times. Furthermore, Bugaboo wanted to broaden its planning and forecasting to include more than just financial and sales forecasts. For instance, the Innovation Department wanted to monitor costs at every stage of a project, from development through to production.
Case Study
Predictive Analytics Boosts Revenue Collection for California Franchise Tax Board
The California Franchise Tax Board (FTB), a part of the California Government Operations Agency, was faced with a daunting task. They had a list of over three million delinquent or non-filing taxpayers and were struggling to determine where to start the collection process. The traditional methods of relying on experience and anecdotal evidence were no longer effective, and state revenue was suffering as a result. The board was grappling with a multibillion-dollar gap between the amount they collected and the amount they were owed. The challenge was to find a more efficient and effective way to prioritize nonpayment cases and increase revenue collection.
Case Study
Transforming Financial Reporting: A Case Study on Canadian National Railway Company
Canadian National Railway Company (CN), a major economic player transporting over CAD250 billion worth of goods annually, faced a significant challenge in its financial reporting process. The company's accounting team was burdened with increasingly complex accounting standards and internal demands, making financial reporting labor-intensive. The team was responsible for generating a variety of reports, including quarterly and annual regulatory reports, internal monthly statements, and executive analysis. However, many of these processes were spreadsheet-based and had reached their limits. The team was spending more time on low-value activities such as data collection and performing repetitive tasks, which was inefficient and took away from more value-added tasks like analysis.
Case Study
CarrefourSA's Rapid Expansion Strategy: Leveraging IoT for Retail Growth
CarrefourSA, a leading multinational retail group, set an ambitious revenue goal of USD 2.7 billion by 2016 in Turkey. To achieve this, the company aimed to more than double its retail footprint by opening at least one new store every day for an entire year. However, the existing processes and systems meant it took an entire month to set up a new store. The company faced the challenge of expanding its store landscape rapidly to connect with prospects ahead of its competitors. The process of making a new retail store operational involved onboarding new employees, installing and connecting the point-of-sale systems, adding new delivery points to the stock distribution network, and more. The company relied on multiple different business systems to manage these business processes, which were complex and time-consuming due to limited integration between the systems.
Case Study
CERN Leverages IBM Technology for Massive Data Management
CERN, the European Organization for Nuclear Research, is tasked with managing an enormous data archive of 100 petabytes, a volume that nearly doubles as 13 large data centers worldwide receive partial copies of the data. The data is generated by the Large Hadron Collider (LHC), the world’s largest and most powerful particle collider, which is used to reconstruct the first moments of the universe to gain a better understanding of physical laws. The LHC generates more than 25 petabytes of data in the four main LHC experiments, even with drastic data filtering protocols in place. CERN does not have the computing capacity required to analyze the data, so it relies on a distributed environment consisting of 160 different computer centers located in 45 countries to distribute data to its scientists. The biggest challenge is the constant influx of data, more than a gigabyte per second, which needs to be stored, preserved in the long term, and made accessible to several thousand physicists worldwide.
Case Study
Chamberlain Group's IoT Solution for Secure Home Access Control
Chamberlain Group, Inc., a leading connected products company, recognized a gap in the market where consumers wanted to use their smartphones to control and monitor their garage doors from anywhere in the world. The company developed an innovative solution, the MyQ smartphone app, which quickly gained popularity with a monthly growth rate in user numbers hitting 15 percent. However, the existing system architecture was not robust enough to withstand the pressure of this growth rate for long, and the risk of impact on performance and availability was constantly rising. The company needed to ensure that the app was highly reliable and responsive for consumers, especially when it controls something as important as the security of peoples’ homes. The challenge was to make the existing architecture more robust and scalable, so that it could support future peaks of up to one million concurrent consumer actions.
Case Study
ABT Power Management: Empowering Business Growth Through Collaborative Learning
ABT Power Management, a family-owned company that provides engineered solutions for DC powered applications, was facing a significant challenge. As the company grew and took on new customers, it realized the need to increase its headcount. However, the transfer of technical knowledge to new employees, essential for delivering exceptional customer services, posed a significant hurdle. In the early days, institutional knowledge was stored in the minds of company experts, who had vast experience working in the industry. As the company expanded, it needed a new way to store and share institutional knowledge effectively with new members of its team. The challenge was to find a solution that could bridge the gap between classroom learning and professional learning, enabling new employees to get up to speed on the industry faster and more efficiently.
Case Study
Alder Hey Children’s Hospital: Using IBM Watson cognitive technology to enhance the patient experience
Going to hospital can be intimidating for young patients, whether going in for a routine examination or major surgery. Alder Hey Children’s Hospital wanted to use technology to reduce patients’ anxiety about their hospital experiences. The hospital considered this when it built its new facility, taking care to keep the architecture and décor light and whimsical. But the organisation wanted to do more than make its facility welcoming—it wanted to make the entire hospital experience less stressful for patients and their families. The hospital aimed to keep surprises to a minimum for young patients by providing them with information tailored to their needs.
Case Study
SHS Group drives smarter deals with 98 percent faster reporting on SAP HANA
SHS Group, a leading FMCG company, wanted to empower its sales teams with timely, accurate information on all aspects of product performance, sales activity, and market trends. However, slow reporting was dulling business insight and threatened to put the group at risk of losing out on opportunities to boost sales and business volumes. As SHS Group grew through acquisition and expanded its brand portfolio, the group found that existing systems were struggling to cope with the corresponding increase in data volumes. The group's entire sales and marketing division, and its drinks division all run on an integrated SAP ERP instance. These areas generate an immense amount of data, and it was becoming more and more of a challenge to provide business users with timely access to the information they needed to perform analysis and reporting.
Case Study
Factor-y S.r.l. – Establishes a cost-effective, security-rich development environment with SoftLayer technology
Factor-y S.r.l., a web portal developer, was faced with the challenge of migrating its development infrastructure to a reliable cloud services provider with highly responsive technical support. The company needed a solution that would not only provide a secure and reliable environment but also support its expansion by providing resources to create and deliver innovative offerings.
Case Study
Leading chemicals manufacturer Boosts business performance with IBM and SAP
The leading chemicals manufacturer was facing challenges in gaining fast insight required to boost business performance and profitability due to staff and systems spread across many different business units. The company was also experiencing availability problems, often having to take the system offline for software upgrades, back-ups and patches. The company's SAP application user base was expected to grow by several thousand users due to internal reorganization, making capturing operational insights even more difficult. The company recognized the need to reduce downtime, and ensure high availability and reliability for users, and looked for a stable platform it could rely on to keep operations running smoothly around the clock.
Case Study
Preparing for growth in emerging markets with SAP systems in the IBM Cloud
Vestel Elektronik, a leading producer of consumer electronics, was looking to expand into the fast-growing Central European markets. However, the company faced challenges in minimizing cost, risk, and time-to-market when opening new business units. The company's operations in Italy, Spain, and the UK were managed independently within the group, each with its own separate business processes and systems. This siloed approach was identified as costly, complex, and time-consuming, especially when establishing new operating units. Vestel Elektronik decided to create standardized business processes that could act as a template for operations in new markets.
Case Study
Agriauto Stamping Company's IoT Transformation: Boosting Customer Satisfaction by 90%
Agriauto Stamping Company, a Pakistan-based manufacturer of die and sheet metal components, was facing a significant challenge. The company wanted to capitalize on a surge in demand for sheet metal parts and seize a larger market share. To do this, they aimed to offer speedy delivery options to their customers. However, their existing manual systems and processes were not adaptable enough to accommodate rapid changes in production to meet new orders. The company's reliance on manual calculations and spreadsheets for production planning was causing delays, bottlenecks in obtaining raw materials, and wastage of spare capacity. The manual processes also increased the risk of human error, leading to mistakes in data and potentially incorrect parts being manufactured and sent to customers.
Case Study
Alleyoop Inc. – Cost-Effective Web Development and Hosting Solution with Drupal and SoftLayer
Alleyoop Inc. was presented with a significant challenge by a government organization in Japan. The organization required the creation of a website designed to facilitate sports camps and, in anticipation of the 2020 Summer Olympic Games, to support visiting sports teams and tourists. The website needed to be multilingual and agile, capable of accommodating a fluctuating number of visitors from locations worldwide. The challenge was not only to create a website that met these requirements but also to find a hosting solution that was cost-effective and capable of handling the expected traffic without compromising on performance.
Case Study
IBM Event Connect Enhances Alliance Tech's Event Reporting and Analytics
Alliance Tech, a provider of event technology solutions, was seeking to enhance the scope and timeliness of its event reporting and analytics solutions. The company wanted to exceed the expectations of its customers, who are primarily event organizers. Alliance Tech's solutions integrate analytics and marketing automation tools to provide actionable and insightful leads from data gathered about attendees as they journey through an event. The company was the first to offer RFID badge readers and online schedules to track attendee interests and preferences at conferences. However, Alliance Tech wanted to make the insights gathered from these tools available to its business customers each night so they could take action based on attendees’ behavior that day.
Case Study
AMC Networks: Leveraging IoT for Viewer Engagement and Advertiser Value
AMC Networks, a leading cable television network, was facing the challenge of understanding customer behavior in a rapidly evolving multi-channel world. Despite its success with critically acclaimed shows like Breaking Bad, Mad Men, and The Walking Dead, the company recognized the need to appeal to a new generation of millennials who consume content in very different ways. The traditional reliance on ratings data and third-party analytics providers was proving insufficient. The company needed to take ownership of its data to get a richer picture of who their viewers are, what they want, and how to keep their attention in an increasingly crowded entertainment marketplace. The challenge was the sheer volume of information available – hundreds of billions of rows of data from various sources such as Nielsen, comScore, AMC’s TV Everywhere live web streaming and video on demand service, retail partners like iTunes and Amazon, and third-party online video services like Netflix and Hulu.
Case Study
andagon Enhances Application Performance with SAP and IBM
andagon GmbH, a renowned consulting company specializing in software testing, process and test automation, often encounters clients who have identified quality issues or performance bottlenecks during the implementation phase of their applications. These clients turn to andagon to analyze the difficulties and develop a customized test plan to efficiently address the performance issues. In typical commercial environments, software testing is often delayed until the end of a project, increasing the pressure on the testing team and process. To assess the performance of a complex application quickly and effectively, efficient tools are required to create and execute the relevant test cases. Thousands of companies rely on SAP software to run their core business processes, and need to make sure that application errors do not disrupt business operations. Particularly for manufacturing companies, system downtime can cause significant financial damage. If software quality and performance issues are spotted at a late stage in a development project, the costs and delays incurred by corrective work damages companies’ abilities to reach their goals.
Case Study
AppAdvice: Personalized iOS app news and reviews powered by IBM Cloudant DBaaS
AppAdvice, a Los Angeles-based company providing a comprehensive range of iPhone and iPad application reviews, news, and app discovery services, faced a significant challenge in managing its variably structured data. The company needed to store this data in its application catalog in a way that was not only easy and inexpensive to start with but also capable of handling potentially massive future growth. Given the nature of the data, a relational SQL database was not a viable option for the platform. As an early-stage company, AppAdvice was looking for a NoSQL database that was easy and inexpensive to get started with, but built for growth.
Case Study
Apria Healthcare: Leveraging Accurate Forecasts for Competitive Healthcare Services
Apria Healthcare, a leading provider of home respiratory services and medical equipment in the United States, was looking to expand its high-quality care services into new markets. However, the company faced challenges in identifying cost centers due to its manual forecasting system. The company's spreadsheet-driven forecasting system made it difficult to understand the true cost of operations, which was crucial for a healthcare organization of their size. The company gathered a lot of data about the market for their specialist products, but the inconsistent and inaccurate data capturing and usage made it difficult to focus on the most promising opportunities. The company needed a solution that would help them understand their true operational costs, increase efficiencies, control costs, and build more competitive pricing models for their services.
Case Study
Population Health Management Platform Anchors Arch Health’s Approach to Lowering Hypertension
Arch Health Partners, a multi-specialty group with over 90 providers at 13 locations in San Diego County, was facing a challenge with its hypertensive patient population. The group's hypertension statistics were below their expectations, and they were struggling to improve the health of these patients. The first step in driving better outcomes was identifying at-risk patients from within a large and growing patient population, which proved to be a more difficult challenge than originally expected. As the organization continued to grow, managing clinical data and improving quality scores became increasingly difficult due to manual processes. The organization realized that to increase the quality and frequency of patient engagement, they would need to automate some of their processes.
Case Study
Automating Analytics for Enhanced Customer Service: A Case Study on athenahealth
athenahealth, a leading provider of support services for doctors and healthcare providers across the United States, was facing a challenge in its internal approach to data analysis. Following a period of rapid growth and multiple acquisitions, the company's existing analytics and reporting solution was falling short of its needs. The company relied on data from multiple sources, including financial and operational data from its own systems and external data. However, the process of gathering data was laborious and technical, leaving little time for actual analysis. The company's analysts were spending too much time manually gathering data, and business leaders had to wait for analysts to generate reports on their behalf. The company needed a more flexible approach that could help it respond faster to changes in rules, regulations, and demands from its customers.
Case Study
High-Volume Service Parts Management Success with IBM and SAP
The case study revolves around the challenge of managing high-volume Service Parts Management (SPM) requirements in a competitive environment that demands greater efficiencies. Companies with complex SPM requirements are under pressure to integrate their manufacturing, inventory, and logistics systems more effectively to achieve significant cost savings. The challenge is further compounded by the need for a solution that can adapt to a dynamic, constantly changing environment, provide worldwide accessibility and visibility of information, and support operations ranging from small to very large service parts. The case study also highlights a specific request from a major German automotive manufacturer with a critical load requirement for order fulfillment.
Case Study
IBM Tivoli Software Enhances Operating Stability and Efficiency for Major Chinese Automotive Company
The automotive company, based in China, was struggling with the efficient scheduling and management of a large number of jobs within multiple software environments. The company had numerous jobs with complex dependencies running on multiple platforms. The limited capabilities of the company’s proprietary scheduling software and the largely manual processes in place for setting job schedules, monitoring job statuses and importing job attributes and dependencies within the company’s SAP ERP, database, Java and IBM InfoSphere® DataStage® software environments posed a significant challenge. The company was in dire need of an automated workload-management solution to increase operating efficiency.
Case Study
Avea Iletisim Hizmetleri: Enhancing Telecom Customer Experience through Efficient Data Management
Avea, Turkey’s youngest and fastest-growing mobile operator, was facing a significant challenge in managing its rapidly growing subscriber base and the associated data volumes. The company was finding it increasingly difficult to deliver prompt service and meet service-level agreements due to the growing volumes of subscriber data. The existing content management systems were struggling to keep up with the increased volumes of data, causing long delays in accessing information. This delay was affecting the company's ability to respond to customers promptly, risking customer satisfaction, potential loss of business to competitors, and non-compliance with government regulations. The company needed to process all mobile number portability requests within 48 hours and send out invoices at least seven days before the payment due date, which was becoming a challenge with the existing systems.
Case Study
Aviation Technical Services: Enhancing Project-Level Cost Insight with Analytics
Aviation Technical Services (ATS), a leading provider of maintenance, repair, and overhaul services for commercial and military aircraft, faced a significant challenge in managing labor costs and maintaining profitability. The company operates in a highly competitive industry where clients demand the best service at the lowest price. The challenge for ATS was to balance the need for highly skilled labor, which comes at a high cost, with the need to keep labor costs as low as possible. The company was also struggling with a complex, manual, spreadsheet-based forecasting process that was holding back its finance team. The challenge was to find a more efficient way to allocate resources, manage aircraft maintenance projects more cost-effectively, and gain deeper insight into labor costs.
Case Study
Driving Sales with Flexible Customer Financing Offerings: A Case Study on Avnet Technology Solutions
Avnet Technology Solutions, a specialist in the Benelux region of Europe, was seeking to offer new customer financing solutions. The company wanted to provide tailor-made financing packages to resellers who were looking to adopt a managed service provider model and other end users who were seeking affordable ways to adopt analytics, mobile, and cloud-based technologies. The challenge was to find a way to accommodate these needs without putting their own working capital at risk. They also saw an opportunity to increase sales and customer satisfaction by expanding their finance solutions portfolio to include customer financing offerings.
Case Study
Baldor Electric's Successful Integration and Cost Reduction with IBM Solutions
Baldor Electric Company, a global manufacturer of industrial electric motors, mechanical power transmission products, drives, and generators, faced a significant challenge when it acquired a major competitor. The acquisition brought with it approximately 200 heterogeneous stand-alone servers, running various operating systems and applications. This increase in server numbers and system complexity threatened to considerably increase IT costs. Baldor, which continually aims to reduce IT costs as a proportion of sales revenue, needed to integrate the two organizations as rapidly and cost-effectively as possible. The company also wanted to continue driving down operational costs in its virtualized SAP Business Suite software environment.
Case Study
Enhancing Security and Trust with IBM Solutions: A Case Study of Banco Cooperativo de Puerto Rico
Banco Cooperativo de Puerto Rico (BanCoop) is a financial service provider for approximately 115 credit unions across Puerto Rico, processing nearly 28,000 checks and 35,000 Automated Clearing House (ACH) transactions daily. The company was facing a significant challenge in improving security protections across its web channels. The primary concern was the potential for malware and phishing threats on customer endpoints, particularly as most of the company's internet exposure came from its web applications. The IT Manager, Abey Márquez, was not only concerned about BanCoop's security but also about the security of each credit union it served. Despite having several systems and processes in place to protect its infrastructure, BanCoop needed a solution that could effectively identify and block these threats.
Case Study
Baseline Telematics: Accelerating Global Insurance Solutions with SoftLayer Hybrid Infrastructure
Baseline Telematics, a leading global provider of technology solutions to the insurance industry, was faced with the challenge of delivering its innovative usage-based platforms to insurance organizations worldwide. As the company grew, it realized that each customer required its own dedicated private cloud, making security audits complicated in a multi-tenant environment. Additionally, to serve a global customer base, Baseline needed a cloud hosting platform that was scalable, had private, dedicated resources, and offered international data center presence. The company did not want to have to search for a reliable provider in each country it operated in.
Case Study
Transforming Healthcare Delivery: Bassett Healthcare Network's Journey with IBM Watson Health
Bassett Healthcare Network, a healthcare organization serving a 5,600 square mile region in upstate New York, was facing the complex transition from volume to value-based reimbursement. The organization recognized that its primary care network was a critical point in its strategy. Bassett Medical Group, consisting of over 400 physicians and clinicians, had experienced rapid growth with 43 clinicians hired over the past two years and physical expansion of six clinics. The organization aimed to drive volume to utilize existing capacity, support the pursuit of NCQA Patient-Centered Medical Home renewal recognition, foster overall population health management, and support clinical quality improvement initiatives. However, they needed the 'right volume', not just more. This meant targeting gaps in care, focusing on chronic needs in primary care, pediatrics, and women’s health such as depression, immunizations, and diabetes. Bassett knew that effective patient outreach and engagement was critical to achieve these goals.
Case Study
Optimizing Counterparty Risk Capital with Real-Time Simulation-Based Exposure and Limits Management
BBVA, a multinational banking group, was facing a challenge in providing its trading desks with real-time, accurate insight into counterparty credit risk (CCR) and checking the limits for each trade. The bank's philosophy is that risk is a fundamental part of every business decision, and it wanted to manage risk more proactively by moving from an ex-post to an ex-ante model. This required the ability to obtain a precise valuation of CCR and other risk measures even before closing deals. However, the sophisticated CCR models that BBVA's risk team had been using could only be run in a batch process at the end of each day. For pre-deal limit checking, traders had to use a simpler “add-on” modeling approach, which did not take some important factors into account. Moreover, this model was only used in some geographies, while in others, there was no pre-deal limit checking at all.
Case Study
Bengt Dahlgren AB: Enhancing Agile Decision-Making and Collaboration with Cloud Technology
Bengt Dahlgren AB, a civil engineering consultancy services provider, was faced with the challenge of ensuring effective collaboration among its six group companies as it prepared to give them greater autonomy for lean decision-making. The group, which specializes in heating, ventilation, and air conditioning (HVAC), fire safety, energy and environmental construction, and building automation, wanted to ensure that the increased autonomy did not reduce the employees’ ability to collaborate across different departments. The group had been relying on shared drives and folders to distribute information on human resources, internal processes, and best practices. However, as they transitioned to a decentralized IT management structure, they realized that this approach would become difficult to sustain. They needed a new way to collaborate across the group.
Case Study
BH Telecom: Pioneering in Cloud and IoT Market with Rapid Service Launch
BH Telecom, a leading provider of communication services in Bosnia and Herzegovina, aimed to become a regional leader in cloud and Internet of Things (IoT) services. They identified a significant market gap for solutions that collect and exchange data to enable smarter environments, optimizing resources like power, water, and lighting. Additionally, they saw an opportunity in providing a robust, secure, and cost-effective infrastructure-as-a-service (IaaS) platform for enterprise clients. However, the challenge was to deliver these solutions to customers rapidly and at competitive prices. The existing environment could take months to build such a solution, which was not feasible in the face of competition. It was crucial for BH Telecom to accelerate their service delivery without compromising the reliability of their services.
Case Study
Big Fish Games: Leveraging IoT for Enhanced Customer Engagement and Competitive Advantage
Big Fish Games, a leading producer and distributor of casual games, faced a significant challenge in the highly competitive mobile and online gaming industry. The company needed to identify loyal clients and reduce customer churn to maintain its market position. The transition from a PC-centric to a mobile-centric gaming company brought about a change in strategy. With millions of games available to mobile users and new releases emerging rapidly, the window of opportunity to capture and keep the attention of a player was shrinking. The key to success for Big Fish Games was understanding customers’ changing tastes to deliver the optimal balance between challenging and satisfying gameplay. However, the company struggled to manage escalating volumes of data from tens of millions of players from around the world each day. The large data sets made it difficult to conduct effective analytical exercises without hitting dead ends.
Case Study
BLOM BANK's Rapid Expansion with IBM DS8870 Storage Solutions
BLOM BANK, a leading Lebanese bank, was looking to expand its market share in Lebanon and the EMEA region. To achieve this, the bank recognized the need to embrace the omnichannel digital banking trend. However, this had to be done without compromising on data availability or efficiency. The bank had a solid track record of profitability and growth in Lebanon and the EMEA region, while following a conservative strategy that includes prudent risk management. The challenge was to maintain this winning approach while providing innovative products and services to customers and staying at the forefront of technology. Achieving this without compromising service quality would require the bank to find a stable technology partner, who could offer a technology mix that would enable growth, efficiency and service continuity as BLOM BANK evolves.
Case Study
Blue Shield of California: Enhancing Healthcare Services through IoT
Blue Shield of California, a not-for-profit health plan provider, was facing an increasingly competitive health insurance marketplace following the passage of the Affordable Care Act. The company needed to better support its members and boost competitiveness by accelerating the provisioning of new systems and improving IT agility to get new offerings to market quickly. The challenge was to adjust their offerings as the needs of their members changed, and to deliver a modern customer experience, including access from mobile devices and tablets. The company was also struggling with a lack of automation in provisioning the networking, hardware, and software.
Case Study
IBM Sterling B2B Integration Services: A Game Changer for Bonnie Plants
Bonnie Plants, a national plant wholesaler based in Alabama, was grappling with the challenges of manual data processing which made them vulnerable to human errors and long delays. The company was using IBM Sterling's Gentran:Director® for EDI and Sterling Collaboration NetworkSM for their VAN services since 1994. However, the sales data took up to three days to process, leading to a feeling of being overwhelmed with data. The processing of sales orders could take an entire day and was subject to human error. After pulling information across a dial-up modem, Bonnie often discovered the data was incomplete. The company was continuously facing the challenges of trading electronically with little visibility. Moreover, 70 percent of their business occurred between the months of March and May, which required a scalable solution that could handle a large influx of data during a short period of time.
Case Study
Revolutionizing Pediatric Care Globally: A Case Study on Boston Children’s Hospital and IBM's OPENPediatrics
Boston Children’s Hospital, a leading pediatric and adolescent healthcare center, identified a significant challenge in the global healthcare sector. The traditional teaching hospital apprenticeship model was failing to adapt to an increasingly interconnected world, leading to a bottleneck of expert knowledge within the walls of institutions. This created disparities in access to medical education, particularly in pediatric critical care. Countries like China, India, Brazil, and the United States have more than 150 medical schools each, while 36 countries have none. Of these, 26 are within sub-Saharan Africa, areas with some of the highest disease burdens and infant mortality rates. The lack of access to expert knowledge and training in these regions was a critical issue. Dr. Jeffrey Burns and Dr. Traci Wolbrink of Boston Children’s Hospital, both experts in pediatric critical care, research innovation, and medical learning techniques, sought a solution using Internet and social networking technology to share knowledge instantly around the world.
Case Study
Reducing Risk and Strengthening Customer Satisfaction with Advanced Fraud Protection at BRD-Groupe Société Générale
BRD-Groupe Société Générale (BRD), the second largest bank in Romania, identified the need to enhance security protections at the customer endpoint, which was considered the weak link in banking security. Despite not having experienced fraud losses through its online banking channel, the bank's Chief Information Security Officer, Mihai Andries, and his team believed it was crucial to proactively address this increasingly vulnerable area. The bank recognized that the client endpoint was more susceptible to attacks than the bank’s infrastructure due to significant browser and operating system vulnerabilities that could be exploited by criminals to intercept traffic, inject fake pages, and steal credentials. The bank sought an efficient solution that could rapidly detect malware and phishing attacks, and remove any infections.
Case Study
Brett Landscaping & Building Products Leverages IoT for Smarter Decision-Making
Brett Landscaping & Building Products, a significant sector of the Brett group, one of the largest independent construction and building materials groups in the UK, was facing a challenge in understanding their own profitability due to a complex revenue and cost structure. The company was forced to perform arduous spreadsheet work to gain true visibility of expenditure. The complexity of cost drivers in the construction industry made it extremely difficult for Brett to gain a clear view of its financial situation. The company was maintaining a huge and increasingly unwieldy set of spreadsheets to manage revenue analysis and costs including rebates and haulage. At 186 million records, their spreadsheet environment was unsustainable and prevented them from gaining a true understanding of the relative profitability of different activities.
Case Study
Bridgevine Boosts Conversions by 300% with Automated SMS Program
Bridgevine, a company that powers customer acquisition solutions through its next-generation technology platform, was facing a significant challenge. The company was struggling with prospective customers not following through with conversions, specifically, calling into the call center to schedule an installation appointment. This was a significant issue as it was affecting the company's ability to acquire new customers, build brand loyalty, and unlock new revenue streams. The company's marketing team, which markets to an entirely B2C audience, was in need of a more effective way to ensure that these prospective customers followed through on scheduling an appointment.
Case Study
Broadcom: Enhancing Sales Performance with Real-Time Compensation Insight
Broadcom, a global leader in semiconductor solutions, faced a significant challenge in managing its sales compensation. The company's compensation plans were becoming increasingly complex, and the lack of real-time visibility into compensation was causing dissatisfaction among its highly skilled sales team. The salespeople, most of whom are qualified engineers, were unable to monitor their performance and predict their compensation, which was affecting their motivation and productivity. The company's compensation reporting processes were manual, labor-intensive, and could only produce reports once per quarter. This lack of timely insight into compensation was affecting the sales team's performance and the company's ability to motivate them effectively. Furthermore, Broadcom needed to make compensation more transparent without significantly increasing the headcount in the compensation team.
Case Study
Personalised Learning Pathways: A Case Study of Brockenhurst College
Brockenhurst College, a high-achieving academic institution in England, was seeking ways to gain deeper insights into student needs and learning styles. The goal was to use this information to shape a more immersive and personalised educational experience, from application to graduation. The college was also looking for ways to improve student recruitment and retention, and increase its reputation. The challenge was to find a solution that would allow the college to understand each student’s unique style of learning and interests, and continually adapt learning pathways to meet these needs. The college also wanted to improve the way it markets itself to prospective learners and ensure that its educational offerings meet both local learner and employer needs.
Case Study
High-Speed Transfers and Automation: BT Sport's New Production Hub
BT Sport, a collection of sports channels offered by the BT Group in the UK, needed a high-speed file transfer solution to support ad hoc ingest and distribution as well as power automated data replication to an offsite data recovery center. The vision of BT Sport could only be realized with a new, state of the art broadcast facility. Timeline Television, BT Sport's technical partner, had less than six months to build out the broadcast centre from an empty shell into a 24 hour-a-day operation, including the simultaneous roll-out of a fully automated disaster recovery system. They quickly identified the need for a robust, high-speed transfer platform from a trusted vendor, to power the intense file-based production workflows and meet the project’s aggressive timescale. The platform needed to support secure high-speed transfer at multi-gigabit speeds, allow fully automated end-to-end workflows including ad hoc content ingest, review, approval and distribution, and offer reliable, secure data replication of petabytes of media from BT Sport’s main site in London’s iCITY to the disaster recovery and continuity facilities located at the iconic BT Tower.
Case Study
Accelerating Facilities Maintenance with IoT: A Case Study on BTC
BTC, a leading property management and development company in Slovenia, faced the challenge of managing some of the largest commercial and office buildings in central Europe. The company needed to demonstrate its efficiency to clients, find ways to reduce costs, and increase service levels. The lack of real-time, central view of what was happening across all the buildings and assets they managed was a significant issue. The company also lacked visibility of the work done by technicians until they returned to the office and typed up their reports. This delay in information flow hampered the company's ability to respond immediately when something went wrong in the facilities they managed.
Case Study
Buffalo David Bitton: Leveraging IoT for Improved Business Planning and Performance
Buffalo David Bitton, a leading fashion brand, was facing challenges in analyzing, planning, and forecasting demand and inventory for its wholesale, online, and in-store channels. The company's sales channels were run on different software systems, and its financial data was managed in another system. This disparity made reporting a laborious process, hindering the company's ability to make timely decisions. The company needed a solution that would provide a holistic view of sales trends across all channels, ensuring the right products were always available to appeal to each customer. The existing systems, while efficient for day-to-day operations, had limited reporting capabilities, making it difficult to gain an overall view of the business or to analyze data in detail.
Case Study
Busan Bank: Enhancing Customer Experience and Efficiency with Mobile Solutions
Busan Bank, a retail banking service provider in South Korea, faced a significant challenge in providing efficient and effective services to its out-of-branch customers. The bank's salespeople, when operating in the field, had to carry all necessary forms and information they anticipated they would need. However, if a customer asked an unexpected question, the salesperson had to return to the office to find the answer. Similarly, completed forms also had to be brought back to the branch for processing. This process was not only time-consuming but also left customers with a negative impression due to the delay in service and lack of immediate answers.
Case Study
Cabify: Scaling Rapid Growth with IBM Cloudant DBaaS Platform
Cabify, a Spain-based startup offering chauffeured car transport services, was experiencing rapid data growth as it expanded globally. The company's databases, which stored critical information on vehicle locations, routes, drivers, pricing, and payments, needed to be accessible in real time. Initially, Cabify ran its database services internally using Apache CouchDB. However, as the company grew, managing databases became a time-consuming task that distracted from its core business activities. The company was also grappling with the challenge of balancing the number of servers it could run and the staff time required to maintain them. The increasing difficulty in maintaining in-house databases led Cabify to seek a solution that would reduce operational costs, free up time for core activities, and provide a scalable data services platform to support its ambitious growth plans.
Case Study
Predictive Analytics Boosts Customer Satisfaction and Reduces Churn for Cablevisión
Cablevisión, one of Argentina’s leading media and communications companies, was facing a challenge in boosting customer loyalty and minimizing churn. The company wanted to enhance service quality and customer satisfaction but lacked an effective method to identify dissatisfied customers and address their issues. Regular satisfaction surveys did not provide a comprehensive picture as many subscribers chose not to participate. Moreover, if customers did not report their problems to the helpdesk, the company often had no feedback from them at all. The company realized that it needed to diagnose and resolve connectivity problems early to retain customers. The challenge was to predict which internet subscribers were dissatisfied, regardless of whether they complained or not, by gathering data about network status from customers’ modems and comparing it with the results of satisfaction surveys.
Case Study
Digitizing Patient Records: A Leap in Cancer Treatment and Research
The cancer treatment and research center was facing a significant challenge in managing and accessing its vast volumes of patient data, which were primarily in paper format. The institution's unique approach to treating patients as a whole, rather than a series of isolated maladies, resulted in extensive patient medical records. The sheer volume of these paper records often made it difficult for clinicians and researchers to rapidly and reliably access the information they required. This situation was negatively impacting productivity and causing delays. Furthermore, the practice of 'checking out' medical records for research purposes often left clinical teams without immediate access to these records, especially in cases of unexpected patient visits. The center needed a more effective way to work with patient information that would enhance the delivery of prompt diagnosis and treatment, and accelerate the progress of vital research work.
Case Study
Boosting Business Efficiency with Rapid Information Integration: A Case Study on Canon Marketing Japan Inc.
Canon Marketing Japan Inc., a subsidiary of the Canon Group, was grappling with the challenge of improving employee productivity and satisfaction by enhancing response times for crucial information systems. The company's IT headquarters, responsible for managing and operating mission-critical business applications used daily by approximately 4,000 of the 18,000 employees across various Canon Group companies, was facing increasing wait times due to the concentration of large volumes of transactions. The company had created a mechanism to utilize mission-critical systems as data warehouses, but the processing of data extracted through SQL queries was time-consuming, especially for complex commands. The system load gradually increased from January to December, with the last three months of the year experiencing particularly severe deterioration in response times. Despite regular system upgrades, the response times during peak periods started to deteriorate sooner than expected due to data and transaction volumes far exceeding estimates.
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