Element / BFSI - Arbella
Lead Management in the Banking Sector
Problem :
- Integrating and augmenting their customer’s policy input data, 3rd party external data, internal risk factor data and finally policy quote data to build a platform for enterprise analytics
- Working with client modeling teams to implement the new approach utilizing SAS
Solution :
- We introduced SAS both as a new technology and a core solution platform for advance Enterprise Analytics
- We were responsible for SAS platform installation / configuration, solution development and post deployment support for various SAS products that were used with in the firm
- Developed an implementation approach for deploying flexible, scalable, reusable, and business customizable models across the enterprise for faster time-to-market
- Developed a business-critical scoring engine which would assume the core functionality of scoring each of the client’s insurance policies
- SAS Solution : SAS Office Analytics 9.4, Access / Hadoop, Clustered Architecture
Outcome :
- Our solution was instrumental generating faster customer response time, improving customer satisfaction and enabling faster decision making
- The solution brought down the scoring time of a policy from a matter of minutes to a factor of just short of 5 seconds
- The predictive models were deployed at an enterprise level to be consumed by multiple business groups; this facilitated enhanced collaboration based on critical business insights