Case Study: a leading US-based audit company achieves faster, more accurate asset pricing analytics with KANINI

Leading US-Based Audit Company - Customer Case Study

The client, a leading US-based audit company, faced scalability and data integrity challenges with its existing data platform, which struggled to efficiently process large volumes of asset pricing data from third-party vendors. This limitation hindered its auditors' ability to perform advanced analytics and ensured data accuracy for investment fund audits. KANINI analyzed these pain points to establish the need for a data platform modernization initiative.

KANINI designed and implemented a modern data platform utilizing a tech stack including Spark, Azure Data Lake, and Synapse. The solution created a unified data source, streamlining data ingestion and storage. This provided a single view of asset prices, which slashed process run time by 80%—from 10 hours down to 1 hour—and significantly enhanced data quality for better decision-making and customer loyalty.