Yellowfin

Auto IT, a leading B2B dealer management software system (DMS) company in the Australasian region, faced a significant challenge with its clients' reporting processes. Prior to adopting Yellowfin, Auto IT’s clients relied heavily on Microsoft Excel spreadsheets for reporting, a largely manual and inefficient workflow that was not mobile-friendly and lacked modern analytics features such as visualization. As an Independent Software Vendor (ISV) partner, Auto IT needed an analytics solution that could support its customers' growing analytical requirements. The inefficiencies and limitations of the existing reporting system were the primary drivers behind Auto IT's decision to seek a Business Intelligence (BI) and analytics solution.

Digital Planet, a B2B2C enterprise, was facing challenges with its data warehouse performance due to its gradual expansion over the years. The company wanted to provide a better data analytics experience for its customers, with full self-service reporting capabilities. However, the performance degradation of its data warehouse limited 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, slowing down the reporting environment for customers. 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 fulfil all its various data-related objectives.

Traditionally, insurers have been starved when it comes to underwriting data. They rely heavily on risk and pricing actuaries to underwrite their Protection products. And in the case of reinsurance firms, they need to provide additional data insights to insurers as part of their reinsurance process. Previously, underwriters might gain access to updated underwriting data on a monthly basis, and this data is crucial to understand how their rules have performed. So being able to analyse and make changes to their pricing rules, and deploy those changes into production, used to take months. Lead Consultant, Rikus van der Merwe of UnderwriteMe, explains, “We turn that feedback loop around in minutes, so underwriters can make changes to the rules engine and deploy those changes once they are tested and are completely happy with them. They can get Management Information (MI) feedback in fifteen minutes, which is previously unheard of.” For intermediaries, UnderwriteMe, wanted to break down the traditional, fractured sales process by delivering real-time underwriting. This means that when customers are comparing prices and products, they know that the premiums they are seeing are accurate, personalised, and fully underwritten by insurers.