Case Study: a leading financial services provider reduces audit time by 30% with Kanini’s Big Data Analytics platform

Developed a Big Data Analytics platform to identify transactions that are suspicious and needs further scrutiny

A leading financial services provider faced significant challenges with its outdated auditing software, which struggled to handle large data volumes, making the audit process slow and inefficient. The legacy system also lacked the ability to provide meaningful data visualizations, hindering the identification of suspicious transactions. To overcome this, they partnered with KANINI to develop a new Big Data Analytics platform.

KANINI designed and implemented a secure solution that seamlessly connected to the client's data sources and utilized advanced in-memory analytics engines. This empowered auditors to perform real-time analytics on entire populations of data, improving outlier identification and insights. The results were substantial, including a more than 30% reduction in audit time, improved accuracy, and the ability to handle over 27 billion records annually. The platform also supported over 160 concurrent users, significantly boosting overall efficiency for the client.