Yellowfin

Prior to adopting Yellowfin, Auto IT’s clients did their reporting using Microsoft Excel spreadsheets with a largely manual workflow that proved inefficient, untrustworthy, and not mobile friendly. It also could not communicate the information it wanted to get across, due to a lack of modern analytics features, such as visualization.As an Independent Software Vendor (ISV) partner, Auto-IT required an analytics solution that could support its customers' growing analytical requirements. These pain points formed the drivers behind its decision to pursue a BI and analytics solution, according to Rohan Duncan, General Manager at Auto IT, and opened up a solution delivery consulting arm in the BI (Yellowfin) part of the business.

Digital Planet wanted to provide a better data analytics experience for its customers, with full self-service reporting capabilities. However, it had substantially grown its data warehouse over many years of operations, and the gradual expansion of its business soon led to performance degradation.Due to challenges experienced with the performance of its data warehouse, the company was limited in its ability to offer additional data-related services to its customers during office hours. Data refresh was done every hour and updates could take as long as 20 minutes, and this slowed down the reporting environment for customers – which it looked to rectify immediately.As Digital Planet was looking to enhance its technology offering with both self-service reporting and embedded analytical reporting for its customers, it identified the clear need to optimize its current environment first. This required implementing the right analytics and business intelligence solutions in place that could fulfill all its various data-related objectives.