Create a vendor selection project
Click to express your interest in this report
Indication of coverage against your requirements
A subscription is required to activate this feature. Contact us for more info.
Celent have reviewed this profile and believe it to be accurate.
We are waiting for the vendor to publish their solution profile. Contact us or request the RFX.
Projects allow you to export Registered Vendor details and survey responses for analysis outside of Marsh CND. Please refer to the Marsh CND User Guide for detailed instructions.
Download Registered Vendor Survey responses as PDF
Contact vendor directly with specific questions (ie. pricing, capacity, etc)


TCS OPTiX is an advanced analytics solution that enables a bank to gain a “one customer, one enterprise” view. Answering the question, “What is a customer going to like even before they begin looking?”, TCS BaNCS OPTiX is an analytics solution that offers contextual insights to a bank, rendered through enterprise apps and embedded analytics, enabling faster adoption.

It comes pre-configured with more than 50 banking-specific analytical models, helping generate insights about customer lifecycle around acquisition, development and retention alongside product performance, branch productivity, among others. Enabling contextual behavior, customer centricity and enterprise agility, this solution helps banks leverage the power of new or extended ecosystems.

Key Features

  • Built on a technology architecture that is based on open standards and tools like R, Python, Apache Hadoop, the solution allows for seamless integration with the existing ecosystem.
  • Contextualizing output right from the prediction of churn, account reactivation and CLTV, it can target customers that have the best probability of retention with the highest returns.
  • Offers contextual insights to a bank, rendered through enterprise apps and embedded analytics, enabling faster adoption.

Key Benefits

  • Contextual information about customer buying behavior, spending patterns, life events, segmentation, life-stage analysis
  • Predictive models describing the “next best product” and information about customer lifetime value
  • Focused cross- and up-selling through a recommendation engine, coupled with market-basket analysis and uplift modelling
  • Reduced customer attrition through profitability scores, portfolio and sentiment analysis
  • Improved risk identification by predicting loss given default, exposure at default, and default churn
  • Better understanding of loan repayment patterns that can help the bank to control delinquency