IPF wasn't gaining trusted and actionable insights from their data fast enough
Originally established as part of Provident Financial, United Kingdom-based International Personal Finance (IPF) is a home credit and digital loans business with some 1.7 million customers worldwide. IPF customers are typically underserved by mainstream lending, allowing the company to borrow relatively small amounts of money quickly. Last year, IPF issued just over $1.15 billion worth of credit. The company operates in nine international markets using two different business models: “Home Credit” (high-touch credit—both representative and remotely collected) and “IPF Digital” (online credit).
It’s a multi-brand, multi-product, multi-channel offering for diverse customer needs and market requirements. IPF operates in a complicated industry. They want to make faster, more intelligent decisions to accelerate their mission to make a difference in the lives of their customers by offering simple, personalized financial solutions.
IPF’s business intelligence manager, Mike Richmond, is tasked with group-level and strategic-level reporting and best-practice sharing among the global employee base. For their main board-level operational reporting, IPF used an on-premises SQL Server that created their reports and generated their ETL using an old version of IBM Cognos 8. They weren’t making much use of online analytics with Cognos 8, so they primarily exported reports via PDF. Additionally, due to a combination of factors, the business intelligence (BI) team and their customers were unable to make change quickly enough to keep pace with business developments.”
Trust in their ability to quickly deliver data and meet user needs had been lost, and consequently, confidence in their reporting was being undermined. “Our decision-making was slow because our insights were out of date and no one trusted the data,” Richmond said. “It was time for a change.”