The biotechnology firm was facing challenges with data consolidation from disparate sources. They were relying on manual Excel-based processes which were inefficient and time-consuming. The firm needed a solution that could handle franchise performance, product launch, market share, patient evolution, competitive and financial data. They were also looking for a solution that could empower end users and provide education.

The healthcare industry has been transformed by the advent of electronic health records (EHR), which provide accurate, up-to-date, and complete patient information. Epic, a leading EHR provider, has developed the Epic Caboodle Data Warehouse (CDW) for the storage and retrieval of large amounts of clinical data. However, healthcare organizations often struggle with accessing this data efficiently. Traditional ticketing systems for data queries can result in overlapping communications and lost time. IPC Global, a leading enterprise systems integrator of data, analytics, and cloud solutions, aimed to provide healthcare organizations with more efficient access to every record they have ever created and help them combine data from both inside and outside their organization for vital analysis.

Charter Communications, the owner of the Spectrum brand of telecommunications and media services, was facing a significant challenge. In a saturated mobile market, the company wanted to launch new products within a nine-month timeframe. However, its existing technology infrastructure was not capable of delivering the necessary data within this period. The company needed a solution that could rapidly onboard and standardize 200Tb of data from more than 60 sources, and prepare and publish this data to various analytical and production platforms.

The Consumer division of BT aimed to have a BT product in every UK household. To achieve this, they needed to consolidate various BT brand data from different data siloes and data warehouses into a unified view. They also wanted to empower users to interact and explore the data with confidence and trust.

The global medical devices, pharmaceutical and consumer packaged goods manufacturing company was previously collecting data off-hours and storing it in highly structured data warehouses. The reporting was generally at aggregate levels and done in silos. The structured reports were designed to show what happened by plant, by product, over time. This approach was not efficient and did not provide real-time insights into the manufacturing process.

The author works at Amazon Produce, a major importer and distributor of fruit, and also teaches business intelligence at universities. The challenge faced by both the company and the students is the need to become data-driven in a world where data skills are increasingly in demand. For Amazon Produce, the complexity of their supply chain, which involves over 50 growers across Latin America and major US retailers, made it difficult to track performance and tell a story about everything that happened along the supply chain. For the students, the challenge was to gain hands-on experience with real-world business intelligence tools and build a portfolio of data visualizations.

As the UK’s largest scheduled coach operator and urban bus provider outside of London, National Express faced several challenges related to business intelligence (BI) and data analytics. The company had to deal with manual reporting from various data siloes, which provided limited insights due to reports showing only one aspect of company performance. The reports also had limited flexibility and analytical capabilities, leading to a high 'event-to-action' latency. To overcome these challenges, the company decided to deliver BI as a service.

Many organizations are either reluctant to fully embrace a data-driven culture, or simply unsure how to get started. One of the first hurdles blocking progress toward full information integration is the belief that data integrity requires extremely limited access. The legacy of this previously messy process is the reluctance of modern organizations to release access to data to the entire organization. Even where staff may want personal involvement, that ongoing fear of losing control is unrelenting. Leaders may believe the perfect solution is to designate a small group of database administrators and allow staff the opportunity to request extractions or factfinding projects. This solution almost always results in bottlenecks and a distancing from the concept of including data in decisions.

The Town of Oakville, located in Canada, had a wealth of data but lacked the tools for effective analysis and visualization. The existing tool, QlikView, was maintained by IT staff and was not user-friendly for everyday staff. The town needed a solution that was easy to use and could be utilized by a wider pool of employees. The goal was to enable staff to create and use their own dashboards, thereby promoting data literacy and self-service. The town also wanted to ensure data integrity and accuracy, as the insights drawn from data are only as good as the information placed into the system.

The University of Worcester was facing a challenge in meeting the global demand for data specialists through its existing data-driven decisions module. The university wanted to give its students a better understanding of data analysis and data mining by enabling them to visualize the results of their work. Additionally, the university wanted to increase student marketability by providing hands-on experience of commercial software. The challenge was further compounded by the Covid-19 pandemic, which forced the university to transition to distance teaching.

The challenge faced by mesur.io was to create a platform that could collect, analyze, and present meaningful data for small and mid-sized farms. The agricultural monitoring equipment available in the market was primarily designed for large-scale agriculture and did not provide actionable insights for smaller farms. The founder of mesur.io wanted to create a solution that was affordable and easy to use for the majority of farms worldwide. The solution needed to provide real-time data on soil conditions and offer recommendations based on historical trends. The challenge was to create a user interface that could present the data in a meaningful way and provide real insights rather than just displaying graphs.

SML Group, a global branding and retail solution provider with production sites and sales networks in over 30 countries, faced the challenge of consolidating data from various sources. The company needed to provide timely reports that would support its operations and management. The vast geographical spread of the company's operations made it difficult to manage and monitor the levels, age, and condition of stocks at different production sites. Additionally, the company needed a comprehensive view of its global sales performance.