The data landscape of this prominent financial enterprise was on-premise, siloed, and deficient in good data governance and management. They did not have a data pipeline/ETL to onboard new systems and missed out on many functionalities required to advance the business. Multiple business units required batch and real-time data analysis on different systems and in various formats. But their existing data warehouse was unable to support these requests.
Their analytics team used Excel for basic reporting and analytics. When the business units requested reports, they had to wait between a few weeks and months. These long wait times and the inability to self-serve reports affected timely decision-making. The lender was wasting many upselling and cross-selling opportunities due to these issues.
The financial enterprise partnered with TVS Next to execute a rapid digital transformation
to expedite its growth.