Overview
A leading financial institution partnered with Tech Mahindra to modernize its analytics platform and reduce dependence on rigid, high-cost third-party tools. The institution needed a scalable, transparent, and privacy-first solution to unlock predictive insights and improve agility across business and risk functions.
MoreA leading financial institution partnered with Tech Mahindra to modernize its analytics platform and reduce dependence on rigid, high-cost third-party tools. The institution needed a scalable, transparent, and privacy-first solution to unlock predictive insights and improve agility across business and risk functions.
Tech Mahindra designed a new privacy-enhanced analytics platform (PEAP) that enables faster model development, secure data handling, and future-ready flexibility—and delivers measurable cost savings and stronger governance.
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Client Background and Challenges
- Rising technology costs from legacy proprietary platforms
- Bottlenecks in scaling analytics as data volumes grew
- Lack of transparency and flexibility in predictive workflows
- Strategic need to strengthen privacy governance and build internal IP
Approach and Solutions
- Designed a privacy-first analytics platform with user-friendly model-building workflows
- Replaced third-party dependencies with open, scalable technologies, including microservices, APIs, and notebooks
- Integrated privacy-by-design features to ensure secure use of anonymized data
- Automated the full data science lifecycle, from data preparation to model scoring
Business and Community Impact
- 60% reduced technology costs from eliminating reliance on third-party licenses
- 30% faster rollout of predictive models through streamlined automation
- Strengthened privacy, governance, and agility—empowering business teams with scalable insights