Crocs, Inc., a global leader in innovative casual footwear, has been experiencing accelerated sales growth and setting high revenue targets. This growth led to an increased focus on data and analytics across all areas of the enterprise, including finance, digital, operations, supply chain, and more. However, managing disparate data sets across different systems became a challenge. To manage this data proliferation, Crocs invested in cloud-based infrastructure and technology, including a Snowflake data warehouse on the Microsoft Azure cloud platform and expanded their use of the Microsoft Power BI platform. Despite these advancements, Crocs recognized the need for better data governance to provide valuable insights and facilitate decision-making. An internal audit team identified several opportunities where data governance would provide value, leading to the creation of a data governance team.

Orange Spain, the second largest telecommunications company in the country, was grappling with the issue of customer churn in a highly competitive market. The company's market share was under constant threat from other telecom players, particularly start-ups offering low-cost introductory deals. The company's approach to data governance was inefficient, with data being managed using spreadsheets. This made it difficult for data scientists to quickly access the right data and ensure its accuracy. They spent days searching for information and exchanging emails with different business teams to establish data validity. The company's business glossary was in a spreadsheet, making it difficult to maintain, search for information, and establish clarity around data ownership.

J.B. Hunt, a leading American transportation and logistics company, was facing significant challenges in their quest to become the most efficient freight transportation network in North America. Their primary focus was on connecting carriers with their ideal shipper, considering factors such as price, weight, and location. However, their legacy architecture, lack of AI capabilities, and inability to securely handle big data were causing significant roadblocks. Their data was locked in legacy enterprise data warehouse (EDW) platforms, and their systems struggled to process and store the massive data generated by hundreds of thousands of equipment pieces. They also lacked the necessary levels of data security and the ability to support data streams generated by IoT sensors on their trucks and carriages. The company knew it was time for a change.

BNP Paribas Leasing Solutions, a leading provider of financing and leasing solutions, was facing significant challenges in managing its documents. The company was struggling with misplaced, lost, damaged, and unavailable documents, which was affecting its efficiency and customer relations. The company realized the need to centralize its documents in a unified and secure repository, making them available for retrieval and viewing. Traditional business intelligence tools and text analysis were proving inefficient and couldn't make sense of the information. The company was looking for a comprehensive and long-term platform incorporating functionalities to capture, process, analyze, search and easily retrieve data from multiple information sources. The main challenges were lowering the costs of managing and processing the client’s documents while guaranteeing security after granting access to all employees in different departments and branches.

The Ministry of Municipality and Environment (MME) in Qatar was faced with an increased demand for permitting requests and a need to improve customer services. The process of handling paper forms for building permit applications and inspection requests was time-consuming and inefficient. The MME was also dealing with a complex process involving multiple stakeholders and entities, with a large number of related documents, forms, and attachments. This complexity made tracking and following up on specific requests challenging. The MME wanted to manage and control the growing number of drawings and files, as well as the demand related to retrieving this information. They aimed to automate the building permit process, including the Lusail sub-process, to overcome the lack of knowledge in the process steps, especially at the end of the request study and the license delivery. The MME also sought to streamline the cooperation of all parties to ensure the success of the operation and facilitate the generation of accurate reports and statistics.

Skyworks, a high-performance semiconductor manufacturer, operates in a complex, multicloud and hybrid technology environment. The company has a footprint in every major cloud services platform, as well as its own on-premises data centers. This complexity made it difficult for Skyworks to obtain an end-to-end view across its applications. As the demand for wireless connectivity continues to grow, Skyworks needed to ensure it was ready to meet the needs of its customers and the world they connect as they constantly evolve. To do this, the company needed to increase its investments in new and emerging technologies such as 5G and improve its manufacturing and engineering processes through automation. However, to maximize the impact of its investments in automation, Skyworks needed a modern observability solution that could reveal how its applications integrate with one another and provide precise answers about how they can be optimized and kept secure.

Fama, a leading background screening company, was facing a significant challenge with its Datadog adoption. The company had recently modernized its observability stack and moved away from a self-hosted log management platform to Datadog. However, the costs associated with Datadog were much higher than projected, with Fama spending between 2-3x each month as much as the team had forecasted. This was due to two factors: Fama's growth and the size of their logs. The company had doubled its screening volume from 2020 to 2021, naturally creating more logs. Additionally, their logs were larger than anticipated, with what should have been single log events often being three or four events. Attempts to strategize ways to lower costs with Datadog either didn't make enough of a difference or created significant blindspots by filtering out logs. Fama needed a solution that would reduce the volume of data indexed into Datadog without sacrificing visibility.

Triton Management Services, LLC, a company owned by Aladdin Group, provides legal services and bonds across the United States. The company, which employs about 600 people, is relatively small, and its IT department is primarily focused on keeping costs low and staying within budget, while still ensuring the delivery of quality data. However, due to budget constraints, Triton was unable to expand its IT team. This posed a significant challenge as the company needed to establish a unified observability platform to save time and money. The challenge was to find a solution that would allow them to maintain a small team, keep costs low, and still deliver quality data.

StarHub, a leading Singapore-based communication, entertainment, and digital solutions provider, was grappling with an outdated and manual customer support system. This was negatively impacting their operational performance and overall customer experience. The company, which holds a 30% market share and serves over 2 million customers, was struggling with inconsistent issue handling, leading to longer wait times, customer dissatisfaction, and a high churn rate. The customer support agents had to switch between multiple platforms to gather information for customers, which was a time-consuming process. Furthermore, the inability to share technical diagrams and photos with customers was affecting agent productivity and the quality of support provided.

Forterra, a manufacturing company with 1,001-5,000 employees, was facing significant challenges with its finance department's data reporting and analytics. The department was heavily reliant on the IT team to pull even the most basic reports, leading to slow and inefficient processes. The time taken by the IT department to extract, transform, and load data from Oracle EBS and other systems could span weeks or even months. This delay created massive inefficiencies within the team. Furthermore, their existing BI and reporting tools, including Sisense, Cognos, and SAP Business Objects, were generating hundreds of reports across 30 financial dashboards. This made it extremely difficult to simplify, clarify, or consolidate critical data across various sources.

Redstone Federal Credit Union, a financial institution with 1,001-5,000 employees, was facing a significant challenge in leveraging data to gain more visibility and control over banking operations. The credit union aimed to deliver more value to its members through data-driven insights. However, fragmented data spread across a myriad of systems and applications was a major obstacle. This fragmentation was holding back the credit union's Business Intelligence (BI) and data science initiatives, preventing them from making the progress they desired. The data science team was heavily reliant on the IT team, which was slowing down their ability to innovate with data.

10Xfive, an Atlanta-based agency that manages marketing, sales, and support for various companies, was struggling with their call center operations. They were using 3-5 different vendors for their phone service, call tracking, call recording, and monitoring tools. This resulted in high expenditure and administrative headaches due to the management of different contracts. Moreover, they lacked a consolidated platform to bring all their data together. A significant challenge was the absence of a voice over IP option with their phone provider, which was a problem when their support agents needed to work remotely and access their tools. They were seeking an all-in-one phone provider to improve their call center answer rate and enhance customer satisfaction.

Eyal Gershon and Hanan Avzuk, founders of a marketing agency focused on generating leads for U.S. home services companies, faced a significant challenge. With 99% of their leads coming in by phone, they struggled to attribute these calls to specific ad campaigns. This lack of data made it difficult to keep their ad budget on track and scale their business over time. The central problem was their inability to tie sales data back to Google Ads, the top call-driving ad space. Furthermore, connecting ad and sales data to CRM and leads management systems was impossible without a robust call tracking and attribution platform. They needed a software solution capable of assigning advertising session data to phone calls, particularly from online ads, and integrating it with a CRM.

Kotak Life Insurance Company, one of the fastest-growing life insurance companies globally, was seeking a comprehensive solution to streamline customer interactions across various messaging channels. The company aimed to provide personalized insurance services through WhatsApp, including comprehensive information on various policy options, the ability to ask questions, receive quotes, and even purchase policies directly through the app. The team prioritized chat channels as their main customer contact option due to its ease in maintaining context and history. They also needed to offer first-class aid and advice to potential customers, providing them with the best insurance plan recommendations. Additionally, Kotak Life was looking for an efficient solution to remind existing customers of premium reminders and policy updates.

WELL ROOM, a subsidiary of Mitsubishi Estate Co., Ltd., was established in April 2021 to provide multilingual healthcare services for companies employing foreign employees in Japan. The challenge was to build a video platform that would enable online mental health and occupational health consultations for foreign nationals living in Japan. The increasing number of foreign residents in Japan has led to a growing demand for multilingual healthcare services. However, the lack of medical facilities with multilingual capabilities posed a significant challenge. WELL ROOM aimed to address these issues by providing a variety of services, including referrals to medical institutions for health check-ups and virtual mental health/industrial physician consultations.

Anchor Yeast, a leading manufacturer of yeast, enzyme and speciality ingredients in Southern Africa, faced a significant challenge when one of its top customers, Pick n Pay, decided to implement a new Electronic Data Interchange (EDI) order process. The new process required suppliers to accept EDI-based purchase orders, a change that necessitated a significant shift in Anchor Yeast's existing order processing system. The company's call centre, responsible for processing purchase orders and creating sales orders, needed a solution that could seamlessly integrate the new EDI order process into their existing operations. The challenge was further complicated by the need to minimize errors, address potential price discrepancies, and maintain efficient communication with customers.

Blind Designs, a leading manufacturer and distributor of window blinds for the southern African market, was facing a significant challenge in synchronizing its financial data. The company was using Sage Pastel accounting system and a line-of-business (LOB) application for handling quotes, invoices, and production orders. However, the company was struggling with data synchronization between these two systems. The issue was causing duplication problems and inaccuracies in the financial data, which was affecting the company's financial management. The company wanted to continue using Pastel but needed a solution to avoid these duplication problems with their custom in-house system.

Core Group, a consumer technology retailer, was faced with the challenge of integrating its ERP system with an international consumer electronics supplier's APIs to provide the required customer service. The complexity of the integration project necessitated a solution beyond an out-of-the-box approach. Core Group's CTO, Roey Saban, initially considered a bespoke integration solution for their SYSPRO ERP system. However, during the investigation of middleware options, he was introduced to the Flowgear integration platform. Core Group then requested proposals from different vendors and system integrators, evaluating them based on several criteria.