Case Studies.
Add Case Study
Our Case Study database tracks 18,927 case studies in the global enterprise technology ecosystem.
Filters allow you to explore case studies quickly and efficiently.
Download Excel
Filters
-
(5,701)
- (2,526)
- (1,717)
- (759)
- View all
-
(4,977)
- (2,450)
- (1,228)
- (755)
- View all
-
(4,381)
- (1,752)
- (1,288)
- (479)
- View all
-
(4,136)
- (2,042)
- (1,239)
- (919)
- View all
-
(2,454)
- (1,234)
- (459)
- (341)
- View all
- View all 15 Technologies
- (1,732)
- (1,626)
- (1,605)
- (1,461)
- (1,423)
- View all 42 Industries
- (5,782)
- (4,114)
- (3,091)
- (2,780)
- (2,671)
- View all 13 Functional Areas
- (2,568)
- (2,482)
- (1,866)
- (1,561)
- (1,537)
- View all 127 Use Cases
- (10,333)
- (3,499)
- (3,392)
- (2,982)
- (2,593)
- View all 9 Services
- (504)
- (432)
- (382)
- (301)
- (246)
- View all 1008 Suppliers
Selected Filters
|
Sharing the Positive Energy-Connecting Pan-European EV Charge Stations
The New Motion were looking for a second supplier for cellular network connectivity with proven reliability, good debugging capabilities as well as competitive prices. “With each EV charge station expected to have a lifespan of 5-10 years, it is imperative that our suppliers understand our need to have reliable and future proof solutions.”- Remi Caron, Chief Technology and Innovation Officer , The New Motion.
|
|
|
Atlassian's Solution on AWS
At Atlassian, growth is on a fast track. The company adds more customers every day and consequently needed an easy way to scale JIRA, which is growing by 15,000 support tickets every month. The instance supporting this site was previously hosted in a data center, which created challenges for scaling. “The scale at which we were growing made it difficult to quickly add nodes to the application,” says Brad Bressler, technical account manager for Atlassian. “This is our customer-facing instance, which gathers all the support tickets for our products globally. It’s one of the largest JIRA instances in the world, and growing and maintaining it on premises was getting harder to do.” For example, the support.atlassian.com instance was hosted on a single on-premises server, which the company needed to frequently take down for maintenance.The company also needed to ensure high availability for JIRA. “This is a mission-critical application, and the number of customers potentially impacted by downtime is huge,” says Neal Riley, principal solutions engineer for Atlassian. “As we grew, we became more concerned about the resiliency and disaster-recovery capabilities of the data center.”To move into a more scalable, highly available environment, Atlassian created JIRA Data Center, a new enterprise version of the application. However, JIRA Data Center required shared storage. “We needed a shared file system so the individual application nodes could have a shared source of truth for profile information, plug-ins, and attachments,” says Riley.
|
|
|
Cooperation with VR FleetCare for predictive analytics
Bogies are the most significant components of the rail fleet in terms of lifecycle costs and traffic safety. In addition to creating significant cost savings for the rail fleet owners, data-driven maintenance will enhance safety and the usability of the rolling stock. The predictive maintenance capability will improve reliability of the trains, cost-efficiency and passenger comfort. Train traffic will operate more reliably when it is possible to predict rolling stock malfunctions before they cause disruptions in traffic.
|
|
|
Smart Building Revolution: A Case Study on Electra Smart Facilities
Electra group of companies, a developer of high-rise commercial towers, recently completed the construction of five new towers. These towers are equipped with IoT devices, smart power and water management systems, smart lighting, smart cleaning systems, controllable machines and sensors, security and safety systems, parking and gate systems. The challenge was to find a cloud-based, smart facility management system that could integrate, control, and monitor all these towers remotely from their main HQ. The system needed to be flexible and generic for all types of systems installed and should have customizable integration workflows and rules for automating all subsystems’ control and operations. Additionally, the solution should incorporate a mobile application for all facility management staff to receive technical alarms and faults, as well as control smart elements directly from the phone. The solution should also have a visitor management system built-in and assist in cutting down facility management costs, time of response to faults, and reduce utility charges.
|
|
|
Asia Airfreight Terminal Enhances Operational Efficiency with CommScope's RUCKUS Solutions
Asia Airfreight Terminal (AAT), a leading cargo handling company based out of Hong Kong International Airport, was facing challenges with its Wi-Fi network, which was critical for the functioning of its automated Material Handling System (MHS) within the warehouse. Any interference or lost signals could directly impact their operational efficiency. AAT also had separate networks for their office and CCTV cameras, which made the job of their data center challenging. The company was in search of a Wi-Fi network configuration that could streamline their networks and reduce its network management workload. AAT was already running on equipment from a competing vendor, and the new solution needed to prove its worth in scalability and reliability.
|
|
|
Suncor Achieves 95% Reduction in Operator Alarm Load at Fort Hills Oil Sands Mine
Suncor, one of Canada’s largest integrated energy companies, faced a significant challenge at their Fort Hills mine. Upon completion of commissioning in 2018, the control room operators were dealing with alarm loads 30 times higher than those recommended by alarm management standards and best practices. These alarm loads, combined with frequent alarm floods caused by plant upsets, resulted in significant operator overload. This increased the risk of safety, environmental, and production-related incidents at the site. The alarm system was overactive, causing a high level of stress and potential for error among the operators. The challenge was to reduce the alarm load to manageable levels and ensure the safety and efficiency of the operations.
|
|
|
AWS helped Haven power increase their database ability
Haven’s focus on customer service has fuelled a rapid level of growth since its launch in 2006. For its first five years, the company ran on a hybrid infrastructure that was made up of a mixture of onsite and offsite servers. Haven’s systems were not as flexible as it would have liked, with limited support for technology testing and development. The company lacked a complete business continuity and disaster recovery (DR) plan, and needed a technology infrastructure that could both keep up with demand and help drive further growth.Haven had three options: getting a DR solution through the data center of its parent company, Drax Group; going through a third-party re-location disaster recovery service; or moving to the cloud.
|
|
|
The Dow Jones' Solution on AWS
Investors use Dow Jones to learn about what’s happening in financial markets throughout the world. “Our mission is to shine a light on dark corners of the world, focusing on news that impacts decision making,” says Stephen Orban, Chief Information Officer & Global Head of Technology. The company relies on cutting-edge technology to keep its customers as up to date as possible on the latest news.In Asia, about 12.8 million people use WSJ.com, which generates about 90 million page views each month. When the lease on its Asian data center ran out in early 2013, the company needed to find an alternative that would help its developers focus more on revenue-generating applications instead of on data center maintenance. Dow Jones also wanted to reduce latency for its Asia-based customers—and it wanted to avoid delays for acquiring and configuring hardware. “My preference is to have my team build products rather than running data centers, Orban says. “Now that data center is a commodity, that’s exactly what they’re able to do.”
|
|
|
Detection of a Bearing Outer Race Failure on a critical pump saved downtime cost
The process condensate pump, one of the critical pumps in the manufacturing process, has a history of failures every 6 to 12 months. It is a centrifugal pump operating at 3000 rpm with a discharge pressure of 28 MPa (400 psi). Each day this pump is offline, it costs the plant as much as $145,000 in lost production and each failure costs tens of hundreds of dollars to execute an unplanned repair. Nanoprecise Sci Corp was asked to implement a predictive maintenance solution in order to detect faults at an early stage and provide a reliable prediction of Remaining Useful Life (RUL).
|
|
|
Toyota's Successful Digital Marketing Strategy: A Case Study
Toyota Motor Philippines Corporation (TMPC), a subsidiary of Toyota Motor Corporation, was facing two major challenges. Firstly, they were struggling with insufficient site traffic to their 'Here For You' website, a platform where they share virus advisories, virtual engagement options with salespeople and technicians, at-home car maintenance tips, and details about their community support initiatives. This was particularly important as the COVID-19 pandemic unfolded and the company wanted to assure its customers of its continued support. Secondly, despite running several digital marketing campaigns concurrently, the brand was finding it difficult to expand its audience reach while maintaining cost-effectiveness.
|
|
|
Prevent Process Inefficiencies with Automated Root Cause Analysis
Manufacturers mostly rely on on-site expert knowledge for root cause analysis. When the defective product is sent to lab for analysis, it is laborious and always a post-mortem one. Manufacturers that collect data from IT and OT also need a comprehensive understanding of a variety of professionals to make sense of it. This is not only time consuming, but also inefficiencient.
|
|
|
Revolutionizing Car Wash Industry with IoT: A Case Study on Motor City Wash Works
Motor City Wash Works, a leading global manufacturer of automated car washes, aimed to revolutionize the car wash industry with its end-to-end, as-a-service car wash technology system. However, the company faced significant challenges related to network connectivity. The system relied heavily on secure 24x7 network access for everything from machinery data to PCI compliant point-of-sale information. Any network downtime was costly and manual, making in-person troubleshooting unrealistic and inefficient. The company also faced issues with opening day delays for new installations, which resulted in significant revenue loss. Additionally, the company had to manage data from multiple sources, which was difficult to track through one platform. Lastly, the company needed to ensure the security of critical data, including customer payment information, while meeting PCI DSS standards.
|
|
|
Bayernwerk AG's Cloud-Based Integration Platform for Enhanced Services and Reduced Time to Market
Bayernwerk AG, a subsidiary of global energy leader E.ON, operates one of the largest electricity and gas distribution networks in Germany. The company aimed to create innovative business systems to better utilize existing assets and deliver new digital services faster to members and third-party organizations in the energy industry. However, Bayernwerk AG faced significant gaps in its legacy platforms and was challenged with figuring out the best ways to use existing grid services to develop new products and services. The company also aimed to improve the customer experience and the reusability of its assets and software systems. A primary goal of the digital transformation was to change the role of IT to enable business innovation and foster growth.
|
|
|
Optimizing the tourism travel experience in Switzerland
Arcade Solutions AG is an IT and IoT company based in Lucerne Switzerland that has been revolutionizing the travel tourism industry. Arcade is the proud creator of an application called the iParkiere Bus smart travel tourism and parking application which is now the primary navigation application for all coach drivers in Switzerland.
|
|
|
Digitizing Emergency Roadside Assistance: Agero's Transformation with Splunk
Agero, a market-leading roadside assistance company, was facing the challenge of digitizing its services to improve response times and provide better customer service. The company, which responds to approximately 12 million events annually, provides critical driver support services 24/7. Traditionally, customers accessed its services via telephone, and agents would then dispatch a tow truck or other service provider. However, with the increasing demand for digital services, Agero needed to offer a fully digital, transparent experience to better pinpoint locations, dispatch vehicles, and provide the help customers needed when they were in an accident or stranded on the road. The challenge was to transition from a phone-based service to a 100% digital, agentless experience.
|
|
|
InterDigital Remote Augmentation In Multipoint Telepresence
The ability to enrich remote live video by virtual information does not exist in standard teleconferencing systems yet, partly because transmitting real-time captured 3D information over network has some disadvantages. For example, bandwidth requirements of 3D information are much higher than normal video. Also, in order to generate an accurate 3D representation, the environment must be captured from several directions. Normally, users are accustomed to pointing a video camera so that it captures only those parts of the environment that the user wants to show to remote participants of the video conference.
|
|
|
AB InBev: Optimizing Beer Manufacturing with Machine Learning
Anheuser-Busch InBev (AB InBev), a global corporation known for its popular beer brands like Budweiser, Corona, and Stella Artois, was facing challenges in optimizing its beer filtration process. The filtration process, which is crucial for achieving the best beer taste and meeting brand-required turbidity levels, involves many unpredictable variables. The existing technology could only handle basic logic, using meters to monitor and react to adverse conditions such as a change in pressure. AB InBev recognized the potential of machine learning (ML) and artificial intelligence (AI) in leveraging a larger dataset to better predict and prevent potential issues during filtration. However, the company needed a partnership and provider that could enable them to deploy ML quickly and effectively.
|
|
|
Streamlining Agricultural Automation with Eaton’s Package Solution
Grossi Electric, a full-service electrical contracting company, was tasked with facilitating the hulling, dehydrating, and preparation processes at a walnut processing plant in Waterford, California. The company aimed to explore innovative options for creating cleaner and more efficient control panels that would eliminate the intensive time, labor, and costs associated with excessive point-to-point wiring. As a rapidly growing electrical contracting company, Grossi Electric was also concerned about managing risk and cost while attempting to establish a new and unfamiliar service offering in a mature market for control products. The walnut processing plant presented a prime learning opportunity for the company to discover the best way to build more tailored control panels for its customers. The challenge was to enable a lean automation process that was smarter, simpler, more effective, and of unique advantage for clients.
|
|
|
Dell's Transformation: Boosting HR Productivity with RPA and Workday
Dell Technologies, a global tech giant with over 160,000 employees, was grappling with high-volume and repetitive transactional HR processes. The company was seeking to improve efficiency and cost-effectiveness while freeing up HR employees for higher-value, strategic work. The challenge was to eliminate transactional work for end-to-end processes such as open requisition recruiter assignments, onboarding process reminders and status updates, and offer status management. This would allow HR employees to focus more on person-to-person interactions.
|
|
|
Applying Artificial Intelligence to Paint Shop Robots
Factories in the automotive industry have enormous amounts of latent data about manufacturing processes, raw materials, and products. The key to leveraging these data assets is connectivity with the right interface at the control level to get at the information provided by robots, ovens, cathodic electrocoating systems or conveyor technology. Operators in existing plants are often constrained because most of their systems do not have connectivity and the right interface for data acquisition.
|
|
|
Deep Learning Boosts Robotic Picking Flexibility
Gripping and manipulating items of diverse shapes and sizes have long been one of the biggest challenges facing industrial robotics. The difficulty is perhaps best summed up by the Polanyi Paradox, which states that we "know more than we can tell." In essence, while it may be easy to teach machines to exhibit a high level of performance on tasks that require abstract reasoning such as running computations, it is substantially harder to grant them the sensory-motor skills of even a small child in all but the most standardized and predictable environments.However, with the need for flexible picking to accommodate reduced changeover time for more varied product runs on the rise, industry is pursuing new solutions to the problem.
|
|
|
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.
|
|
|
Show Pro
ServerAfter clicking on Live Mode, It will share a server IP address to track the event in the browser of the device and pc as well.Specific RequirementsInputs• Enter show information and click on the design show button• Set the show Start Time and End Time• Fill in all the details in cue sheets like user details, Action, and notes.Key Problems• Admin cannot share private notes and shared notes when it is in live mode• We cannot remove a particular user in live mode• We are not able to write and share the private note in iPad
|
|
|
AT&T's Energy Savings through IoT: A Case Study
AT&T, the largest provider of fixed telephone service in the United States, was committed to reducing its carbon footprint by 20 percent by 2020. In 2013, the company's energy team decided to optimize the energy performance across 1,000 of their largest energy-consuming sites and 500 of their retail sites. The challenge was to find an intelligent way to lower energy consumption using advanced technology. The company was looking for a solution that could be integrated into their existing infrastructure and could be expanded to other areas of facilities control, such as HVAC and building security in the future.
|
|
|
Integrated Home Automation Solutions
Faststream Technologies has developed a comprehensive Smart Home & Build Automation solution that helps consumers automate their home application devices and appliances, each of the devices being connected to the network, consumers can have total controls over their devices anytime anywhere with internet connectivity.Our catalog of services includes a variety of smart home options which fully automates and integrates home entertainment systems, heating, ventilation & air conditioning, home and building lighting control system, presence and intrusion detection, automation of home appliances such as refrigerators, washing machines, kettles. Our suite of products integrates with voice assistants Amazon Echo and Google Home for voice control of the entire home.
|
|
|
Use of Digital Camera Surveillance for Upgrading the Mounting Process for Printi
A manufacturer of flexographic printing machines, the requirement was to upgrade the system performance which included high speed and resolution with a camera delivering high frame rate and good megapixel functionality. They needed full control over lenses and also zoom to have high-quality optical zooming from different distances. They also needed more options for adjusting focus and zoom factor at an economical cost.
|
|
|
Sentilo Terrassa (Smart City Open Data)
Terrassa City was in need to ameliorate their information and communication flow between municipal managers, in order to generate new services to its citizens. The City Council was missing an internal management platform of the municipal services, and wanted to initiate a Smart City strategy to solve this issue, along with bringing value to all parties involved (municipality, businesses, citizens and other local entities).
|
|
|
Somic Group: Doubling Output and Reducing Space with IoT
Somic Group, a machine builder in the packaging market, was facing several challenges. They were seeking ways to reduce costs and react more quickly to customer requirements, while also improving their service business. The market was demanding more innovative, intelligent, and smarter machines, and Somic wanted to meet these demands by building compact, high-performance solutions that incorporated preventive maintenance with an augmented reality interface. Their customers were looking for reliability, production security, and high availability in machines, which were also priorities for Somic. They aimed to deliver all these features while maintaining a compact technology footprint.
|
|
|
Smart Monitoring System for Taiwan's First Micro-Biomass Power Plant
SunForce Technology Co., Ltd was tasked with developing a monitoring system for micro biomass power plants in Taiwan. The goal was to reduce labor expenses and equipment failure rates while increasing power generation. The challenge was to create a system that could perform scheduling and cascade control to create standard operating procedures. The aim was to achieve remote monitoring and real-time management of the power plants. The system was also expected to adapt to third-party software and interface with environmental protection authorities, as well as export biomass electricity for sale to Taipower. The future plan was to combine artificial intelligence with gradually accumulated operational data to perform intelligent monitoring.
|
|
|
Beijing Internet Harbour Company with Hitachi Unified Compute Platform Solution
Facing the fierce competitive market, the new system needed to improve customer satisfaction, ensure continuous system operation and curb costs.
|
|