The Banking, Financial Services, and Insurance (BFSI) industry operations thrives to simultaneous smart and safe utilization of data. Amidst the dynamic global market fluctuations, the BFSI institutions are challenged to stabilize revenue growth, increase operational efficiency, and deliver a personalized customer experience. Banking analytics has emerged with a potential to drive the future actionable outcomes with its evolving cognitive capabilities.
Grow Revenues. Increase Efficiency. And Redefine Your Bank's Future
We enable the financial institutions with analytics solutions built with a 360-degree view of the retail banking functions. The data-integrated solutions help manage end-to-end operations across departments and monitor their performance outcomes.
Solution We Provide
Fraud Detection and Prevention
We customize a list of significant parameters to isolate fraudulent transactions based on the historical characteristics, demographics, and pattern. We profile the traders and allocate each a performance score to indicate the probability of encountering a fraud with them. The automated statistical model helps reduce the efforts and cost of manual intervention, which translates to high hit rates and lower penalties.
We specialize in delivering accurate propensity models, constructed of advanced algorithms that create base for grouping and ranking of targeted customers in to specific deciles. We consider a combination of explorative parameters to generate insights on each decile. The implementation of our decision tree models aid simplification of your approach towards discrete groups, and thus, raise the final conversion rates by a significant figure.
Collection Process Optimization
We develop account prioritization models that aid collection teams in updating an ordered contact list for each period based on the credit scores. The score sequencing is directly dependent on the logistic regression of information from reliable credit bureaus procured at justifiable intervals. You get to automate your rank ordering at an optimized data cost and maximize the net recoveries.
We regroup the wide-scaling customer clusters under easily identifiable economic cohorts for banking and credit unions to design seamless user experiences. With banks generating excessively sensitive data, our robust customer analytics have been modified to be agnostic to unauthorized interception or handling. Thus, you are the sole owner of your customer insights with the power to extrapolate the observed customer relationship value.
Schedule your Consultation Stabilize your financial performance & customer response with banking analytics
A marketer gets to know the impact on sales of all her previous
tactics across vehicles, in a dynamic marketplace with interactions;
and can plan her future tactics on the go effectively as she can view
the possible outcomes.
Find out what happens when digital intelligence meets digital business.
Latest from our resource Center
A New Age of Analytics Awaits
Modern business ecosystem demands a new era of data analytics- we are talking IoT, Big Data, open source technologies...
How data analytics is helping marketers?
Marketing is all about data. Smart marketers rely upon data to design and implement successful marketing strategies. ...
Google Analytics – 11 years later
Google Analytics was launched on 14th November 2005, after it acquired a company called Urchin Software. The day was ...
How marketing analytics will shape up in 2014 – a SIBIA perspective
From gut-feel marketing to data-driven analytical solutions, India is on a fast track towards unlocking the value of ...