Banking domain knowledge plays a vital role in banking analytics. We work with different layers of the banking structure, to provide key metrics to every possible role in the end-to-end banking chain.
We have set up data lake that gets near-real time as well as real-time data from different modules of the OLTP banking system.
The data lakes becomes the primary source of analytics for all.
Optimal cash balance in ATM to ensure cash availability without going dry, is one key factor on ATM predictions.
We have created unique R model in ARIMA, for ATM prediction using the following parameters.
We are currently engaged in one of the USD 2Bn market cap bank in India.
