CBTS, an innovative IT managed service provider, was facing the challenge of meeting the increasing customer demand for cloud-based services. As a company that helps its customers achieve their business and IT goals with solutions that align to their cloud-first strategies, CBTS needed a flexible and reliable IT infrastructure. However, like its customers, CBTS wanted to avoid capital investment in infrastructure that might become redundant if customers scale-down. The company, which started as a division of a local telephony company, has evolved over the last 20 years and now works with more than 3,000 organizations across multiple industries. With 1,500 employees at locations in the US, Canada, the UK, Ireland, and India, the need for a cost-effective and agile cloud service solution was paramount.

DenizBank, a leading financial institution, was facing challenges in maintaining the customer experience and application performance as the bank expanded. The bank's customers demanded a fast, flawless, and customized experience, which required insightful data and scalable technology platforms. With the volume of customer data growing constantly, the bank needed a storage solution that was reliable, high-performing, and easy to manage. Additionally, DenizBank wanted to simplify their backup process. The bank was using over 1200 tapes per year for data retention, which was not only costly but also complex and time-consuming when it came to restoring data.

Gijima, one of South Africa’s leading ICT companies, faced a challenge with its inherited server and storage infrastructure. Much of the storage was reaching end-of-life, and Gijima recognized that upgrading could significantly improve performance and manageability. However, the company needed to migrate its data to new storage arrays without causing any disruption to its clients’ systems. Additionally, Gijima required a partner that could offer on-demand scalability at an attractive price-point, to cater to its wide range of clients, from enterprise clients to small to medium businesses. The company's state-of-the-art Tier-3 data center hosts business-critical systems for many of its biggest clients, making the need for a seamless transition to new storage arrays even more crucial.

Ramanujan College, a constituent college of the University of Delhi, has a computer science department that collaborates with the Indian government, industry stakeholders, and other universities to conduct research and development (R&D) projects. A significant focus area is the development of sovereign cloud platforms that can compete with today's hyperscalers while ensuring data security within India's borders. Previously, most of the R&D work was hosted in the public cloud. However, running performance-intensive applications for 5G communications, blockchain, and a learning management system for over 150,000 participants led to escalating costs.

The Southern Apennine region in Italy, which is responsible for the country's central and southern water resources, is increasingly susceptible to the impacts of climate change. Unpredictable and violent thunderstorms are affecting the hydrogeological structure of the soil, while prolonged droughts are escalating the risk of potential desertification. The intensive use of the land for agriculture and other purposes has also heightened exposure to natural disasters. The District Basin Authority, which governs the physical environment and protects its water resources, is tasked with monitoring the appropriate use of these resources, forecasting the region’s water supply, and preventing natural and human-made hazards. The Authority initiated a project to continuously monitor water quality and availability throughout the territory, aiming to build a network of remote sensors that could surveil the water system and analyze the data using various technologies, including big data analytics and data science modeling.

888 Holdings, a leading online betting and gaming company, faced the challenge of maintaining high customer satisfaction levels in gaming while meeting stringent data protection regulations. The company hosts more than 40,000 concurrent users, each expecting high standards of service in terms of performance and availability. This necessitated a high-performance infrastructure. Additionally, the gaming industry is heavily regulated, with increasing data protection requirements. 888 Holdings was required to keep a third copy of all data, leading to rapid data growth. The challenge was to manage this data growth while ensuring low latency and high availability in data centers.

Bing Lee, a consumer electronics retail chain in Australia, was facing a significant challenge in integrating business data during a complex digital transformation project. The company's legacy ERP had become a highly customized system, dependent on a single point of failure. Its data was unstructured, and problematic processes were making the data generated by the system unreliable. Bing Lee invested in a new cloud-based ERP and developed their own Point of Sale (POS) system. A new reporting tool was also selected to improve user experience for employees. However, the transition to the new ERP was slowed down by the Covid-19 pandemic, and the company's sales and number of transactions substantially grew, increasing the volume of data through its systems.

La Sarine Health Network, a conglomerate of 12 publicly funded healthcare organizations in the La Sarine district of Switzerland, was grappling with the challenges of an aging population and the consequent complex healthcare demands. The organization relied heavily on digital systems for its service delivery, from back-office administration to managing patient data. However, their existing IT infrastructure, comprising two virtualized standalone servers with built-in storage, was proving inadequate. The servers were hosted at the region's residential care center and were unable to rapidly move virtual workloads from one platform to another, reducing flexibility and increasing the risk of downtime in a disaster-recovery scenario. Moreover, the onboard storage was nearing capacity, with utilization of around 85% on each server. The organization needed a solution that could offer quick and simple orchestration of storage as a single pool, allowing it to rapidly move workloads between servers and scale out its storage resources efficiently.

Meat & Livestock Australia (MLA), a global leader in the production and export of livestock, was faced with the challenge of improving product quality, productivity, and global market share. They aimed to drive the adoption of best practices across the industry and improve data collection for enhanced decision making. The business challenge was integrating data across the value chain to drive decision making. This was necessary not only from a supply and demand perspective but also a quality perspective so that farmers could continuously improve and provide the right product at the right time to the right markets. Given that MLA supports 50,000 farms on over 5.2 million acres, they needed collaboration from solution and cloud partners with a deep understanding of the challenges within the meat and livestock industry and the expertise to develop a new internet of things (IoT) digital strategy for collecting data and making data-driven decisions across the value chain.

Armedia, a veteran-owned systems integrator specializing in digital transformation, IT modernization, and enterprise content management (ECM) solutions, was seeking to optimize its clients' complex digital transformation initiatives and case management workflows. The company, which serves both public and private-sector organizations, including U.S. government agencies, education, transportation and logistics, manufacturing, retail, finance, healthcare, and technology sectors, needed to provide real-time, actionable insight on demand. Armedia frequently recommends its own case management solution, ArkCase, which integrates ECM, business process management (BPM), and customer relationship management (CRM) functionality into a single platform. However, to take its solution to the next level, Armedia looked to embed reporting and analytics capabilities into the ArkCase platform.

Fannie Mae, a leading financial services company, was facing a challenge in managing its vast amount of business data. The company, which enabled the acquisition of more than 2 million home purchases and refinancings, and financing of approximately 598,000 rental units across the United States in 2022, was becoming increasingly digital and data-centric. To leverage all its business data across new and legacy applications, and to break down existing data silos, the company wanted to create an agile and dynamic enterprise data lake. However, the process of managing this data lake was complex and time-consuming. Every single one of its 15,000 datasets went through an initial registration process to assign a unique identifier, and every field had to be documented manually. This approach increased compliance and transparency but made the process slow due to the need to add an elaborate set of metadata to every dataset.

MarketAxess, a fintech company with a digital trading platform used by over 1,800 financial institutions, needed to strengthen its ability to make data-driven decisions. The company's Credit and Market Risk team was responsible for providing accurate and fast reporting to support optimized decision-making across the business. However, they faced challenges with their existing ETL (Extract, Transform, Load) solutions, which were inadequate for quickly and easily consolidating data from a plethora of different sources for analysis. The team needed a solution that could simplify data consolidation and analysis, thereby reducing business risk and improving the efficiency and quality of critical business reporting.

A multinational telecommunications company, operating in 26 countries predominantly in Europe, Africa, and the Asia-Pacific region, was seeking to improve the speed and quality of its customer service interactions. The company provides IT and other solutions to corporate clients globally and wanted to enhance its interactions with its vast subscriber base. Traditionally, customer support has been a labor and cost-intensive service with an impersonal, mechanized interactive voice response (IVR). The company recognized that a more efficient and personalized customer service approach would give it a competitive edge.

Nexway, a leading global vendor of e-commerce solutions, faced the challenge of gaining rapid intelligence on sales performance and the cost of payments. With over 700 clients and activities in more than 140 countries, Nexway specializes in enabling software publishers and software-as-a-service (SaaS) providers to build and manage online stores. As the company grew from a Europe-centric business to a global player, the variety of payment methods and providers it supported also increased significantly. This growth amplified the importance of analyzing payment routes and costs. Reporting to clients on sales performance was a crucial part of Nexway's services, requiring the company to consolidate and analyze data from several underlying systems. As Nexway's appetite for analytics grew, it continued to rely on Data Integration and Analytics to deliver rapid insight to decision-makers within its own organization and its clients.

Portfolio+ is a leading player in the open banking movement in Canada, offering advanced technology, a secure API, and a proven core banking platform. As the company continues to evolve alongside the largest financial institutions in Canada, it must continually innovate to stay ahead of customer expectations. With open banking rapidly increasing in popularity, Portfolio+ needed to provide scalable, fully managed cloud services to meet customer demand. Initially, Portfolio+ planned to migrate to the cloud over three to five years, gradually upskilling its teams and experimenting. However, in 2019, it recognized the need to accelerate its plans to stay competitive.

PÖTTINGER Landtechnik GmbH, an Austria-based leading international manufacturer of grassland and arable farming machines, as well as digital agricultural technology, was facing a challenge. The company, which generates annual revenues of approximately €400 million and employs almost 2,000 people worldwide, was looking to strengthen its data security and resiliency to support increasing sales of its smart farming solutions. With a growing global population, sustainability and efficiency in the agricultural sector were becoming increasingly important. PÖTTINGER had been focusing on digitalization and delivering intelligent precision farming with smart tools, which allowed farmers to monitor their fields and tailor their activities to individual soil conditions. However, with increasing food prices and demand for local produce, PÖTTINGER was growing in many markets around the world and needed to streamline its manufacturing processes with industrial internet of things (IIoT) solutions and data-driven automation. This required additional data storage resources.