A leading US-based Reinvestment Fund Solutions provider was overwhelmed by disorganized loan servicing data, hindering decision-making. Indium stepped in, leveraging Databricks to transform the chaos into a structured Data Warehouse and BI solution. This empowered the client with efficiency, smarter insights, and elevated operations.

The client is a dedicated Reinvestment Fund Solutions provider and a pioneering force in the financial world, revolutionizing the flow of capital to communities that have long been overlooked and underserved across the United States. With a deep commitment to financial inclusion, they offer innovative products and services that channel much-needed capital into areas where it can make the most significant difference. Their mission is nothing short of transformative—rewriting the narrative of financial inclusion and creating pathways to prosperity in regions once left behind by traditional funding streams.

The client was grappling with a monumental data challenge that threatened to undermine their ability to make informed decisions and maximize the potential of their loan servicing applications. They needed a more streamlined, effective solution to unlock the potential of their entire data. They faced various challenges, including:

• Overreliance on Manual Processes: Data quality checks and corrections were done manually, causing delays and errors.
• Massive, Unstructured Data: 170 GB of data spanning 15 years lacked the structure needed for easy analysis.
• Zero Data Governance: Absolutely zero formal framework for data quality management or oversight.
• Outdated Data Infrastructure: Their minimal data warehouse and BI setup couldn’t support growing data needs.