Case Study: Kissht improves risk root cause analysis with BoostKPI

How Kissht uses BoostKPI to manage risk

Kissht, a major Indian fintech company, faced a challenge in efficiently identifying the root causes of changes in key metrics like loan delinquency and volume. Their data team was spending excessive time on this manual analysis, which diverted resources from more strategic projects. To address this, they turned to BoostKPI and its AI and ML capabilities to automate root cause analysis on their multi-dimensional data.

BoostKPI integrated with Kissht's Snowflake data warehouse, enabling both on-demand investigation and automated alerts for KPI changes. A key outcome was BoostKPI’s identification that their initial KPI was misaligned with business goals. After updating the KPI to focus on the unpaid loan amount percentage, BoostKPI immediately pinpointed that defaults were primarily occurring in later credit cycles when loan amounts were significantly larger. This provided Kissht with critical, actionable insights, allowing them to automate manual data analysis and accelerate decision-making.

Kissht

Amit Pingale

Lead Data Scientist