Challenges
The client is a prominent financial services company in Malaysia, offering personal and business loans to individuals and companies. The client was collecting vast amounts of data from loan applications submitted via their website. However, this data was stored in internal databases without an effective means to analyse or visualize it. As a result, they lacked a clear understanding of their customers' behaviours, preferences, and patterns, hindering their ability to make data-driven decisions.
The process of compiling and analysing this data manually was time-consuming, and often led to delayed insights or inaccurate conclusions. The client lacked a comprehensive view of the loan application lifecycle. They had no easy way to track how many loan applications had been submitted, were pending approval, approved, or rejected. This lack of visibility made it difficult for the management team to monitor the overall health of their loan portfolio and assess key performance indicators (KPIs).
