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.
  • Fraud Detection
    and Prevention

  • Customer

  • Collection Process

  • Customer

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.
Fraud Detection and Prevention

Customer Acquisition

Customer Acquisition
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.
Collection Process Optimization

Customer Analytics

Customer Analytics
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

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Case Studies

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.

Profitable Customer ...

How a bank has acquired most profitable credit card customers by using advanced modeling, ...

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Fraud Prevention in ...

How a securities trading business reduced transaction frauds significantly by using advanc...

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Ahmedabad, Gujarat, 382421.

Technopolis Building,
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Sector V, Bidhannagar,
Kolkata, West Bengal, 700091.

1125 Executive Circle,
STE 130, Irving,
TX 75038.

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