We blend Analytics, Business Consulting, and cutting-edge Technology to help clients make more effective data driven decisions…


Today’s Organizations need insights into markets, customers and their inside proc ess to get an edge over their competition and also to deliver sustainable business performance. There is always a need for going past the regular approaches to data. For informed decision making, one must learn to manage the high volume and velocity of structured and unstructured data i n different formats.


XyBot is a predictive intelligence platform aimed at helping our customers in prioritizing the right leads for the right product. XyBot has been developed as a product enabled service in the domain of

  • - Banking
  • - Non Performing Assets
  • - Credit Risks
  • - Asset Liability Management
  • - Portfolio Management
  • - Sales Lead scoring
  • - Campaign Management

The Analytical Engine is powered by


  • :: Lightning speed quick-real time analysis
  • :: Multiple prebuilt statistical model comparison
  • :: Instantaneous results post data transfer
  • :: Business related descriptive, predictive and prescriptive analytical models Which enables our customers improve their business value

Use Case

XyBot Analytics: A Use Case Solution Frame


Challenge:-
  • - Bank X’s existing personal loan portfolio shows a rising NPA trend YoY
  • - No tracking mechanism or solution is in place to counter the issue

Objective:-
  • - A comprehensive strategy for the bank which would help them to assess the customers/accounts who can at high risk
  • -A thorough suggestive solution of operational procedures for the bank to deal with NPAs

Deliverables:-
  • - Early warning solution which captures relevant Financial and Banking Signals
  • - These signals will form the basis of our predictive analysis

Solutions:-
  • - NPA Accounts will be identified using statistical analytical techniques
  • - Segmentation of the NPA accounts into High, Medium and Low Risk
  • - Segment to Offer Matching-Right product for the right customer


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