Superior Graphite, a chemical manufacturer specializing in high-temperature technologies, advanced sizing, blending, and coating technologies, was facing challenges in developing data dashboards that would enable better decision-making at all levels. The company wanted to reduce the development costs of integrating a quality business intelligence software system and enhance the richness, accuracy, and usability of corporate data and corresponding data analysis. The company had previously spent a significant amount on consulting time, hardware, and software, but the project dragged on without any results. The company needed a solution that could provide fast access to in-depth data and analysis to improve response time, forecasting, and decision making.

Swedbank, one of the largest financial institutions in Scandinavia and the Baltic states, needed to better support its 6,000+ branch employees and specialist head office and regionally-based marketing staff with customer-centric tools. The mission was to improve the sales support and give advisors an easy way to plan which customers to meet. The previous sales support tools were too complicated for most of the branch office users who were dependent on central and regional specialists from whom information could be ordered. The lack of system agility meant that opportunities were often missed. Swedbank saw this challenge as an opportunity for a paradigm shift. They saw potential for an entirely new user friendly and flexible system that put information, and thereby power, at everyone’s fingertips. They wanted to improve customer satisfaction and loyalty, and at the same time grow sales and revenue.

Teck Cominco Limited, a diversified mining company, needed a platform for turning large volumes of transactional data into usable business information. The company's ERP solution met all of management’s data capture requirements, but its cumbersome reporting capabilities proved inhibitive to providing the key performance indicator (KPI) information necessary for quickly recognizing trends and driving improvements. Temporary, Excel-based systems were implemented to deliver KPI data to management. These unsustainable, labor-intensive systems required IT managers to dedicate one day per month to prepare and distribute reports for process capability and maintenance KPI reviews. The reports provided only static views of information with a narrow focus on a single topic from a single subject area. Access to and value of overall information needed to be significantly and quickly improved.

tesa tape, a leading manufacturer and distributor of pressure-sensitive adhesive tapes, was facing challenges in improving data accessibility to its Asia-Pacific subsidiaries and affiliates. The company wanted to enhance the usability of business data by integrating flexible, high-powered, multifunctional analysis tools. They also aimed to reduce the time and manpower required to develop practical, visual reports. The company had implemented a Navision ERP system, which provided new opportunities for automating information. However, the visual capabilities of the ERP system were limited, and the company was looking for a solution that could provide better visual reporting.

USS-POSCO was facing challenges in streamlining data reporting to improve decision-making speed and responsiveness to trends or problems. The company was heavily reliant on its overburdened IT staff for generating detailed data reports. The goal was to reduce the amount of time it took to answer business questions and move business analysis closer to end users. The company was looking for a solution that could quickly build a sound business intelligence system without heavy financial, time, or resource investment.

US Synthetic, a leading provider of polycrystalline diamond cutters (PDCs) for oil and gas exploration, faced challenges in reporting and analysis. The company's Made2Manage ERP system and internally developed custom tables contained large amounts of detailed data, but employees were not able to utilize that data in a meaningful way. Even the generic reports within Made2Manage were difficult to access, and creating ad hoc reports was even more time-consuming and inefficient. The company needed a solution that would provide real, accessible, and useful information at all levels within the organization. The company's non-linear floor made it challenging for managers to follow the product from work order to delivery. Because products may backtrack in the process flow and ultimately take a different route to completion, production managers were losing visibility of those products and their status.

Vax, a leading manufacturer and distributor of high-quality floorcare products, was facing challenges in producing sales and call centre performance analysis, monitoring supply chain freight movements, and delivering business intelligence (BI) in a visual context for users. The company lacked any specific software for business discovery and was making use of Microsoft Excel spreadsheets. The need for a more efficient and effective solution led to the acquisition of the QlikView business discovery platform in 2006. The initial goal was to track and drive sales and margin performance while helping to control expenses and overall operating costs.

Verdecora, a leader in “green” home and garden supplies, was facing challenges in providing improved and streamlined access to information, optimizing management of information, and developing new indicators for tracking. The company's expansion in available sales space translated into an increase in the quantity of products and information generated. One of Verdecora’s main concerns was how it could process and optimally manage all of this information, and, perhaps most importantly, provide agile access to that information – which was strategic for the company. Consequently, they began searching for a tool that would meet these needs, one that would ensure continued growth by correcting anomalies and offering real solutions.

Visionlab, a leading optical company in Spain, was facing challenges in extracting key indicators in real time, detecting bottlenecks, and improving the output of production processes. The company also wanted to decentralize data management across various areas. As the organization grew, system managers realized that using Microsoft Excel would be inadequate for optimal decision-making. In 2003, Visionlab decided to implement QlikView, a BI solution that they considered visual, easy to implement, and with a quick return on investment thanks to its short learning curve.

Zurich Insurance, a leading insurance-based financial services provider in the Nordic region, faced several challenges. They needed to better assess risks and business potential of insurance solutions, link together insurance systems while making them more adaptable and easier to use, and perform fast and flexible analyses on different customers, types of damages, countries, and products. The company's underwriters, who assess the risks and business potential of all insurance solutions, needed a tool that makes it easy to link different local databases together and perform fast and flexible analysis regarding different customers, types of damage, countries and products.

TWG, a leading food and beverages supplier in Hong Kong, was struggling with inefficient reporting processes that delayed decision-making. The company was using their legacy SAP ERP system to produce sales and CRM reports, but found it difficult to generate meaningful insights from the data. The process was manual and could take several hours to extract the data and then generate a report for management using Microsoft PowerPoint. This inefficiency was hindering the company's ability to make strategic decisions and maintain its market leader status.

Dorman Products, a leading supplier of automotive and heavy-duty replacement parts, was facing challenges in project and support testing cycles due to the large orders they were processing. The Quality Assurance (QA) team was responsible for ensuring optimal support for new products, enhancements, and bug fixes. However, they were struggling with addressing order-related issues in a timely manner. Each order could have several thousands of order lines, making it difficult and time-consuming to recreate and debug issues. The process to replicate and debug production problems was highly manual and involved many steps. The team recognized the need for a solution to streamline this multi-step process.