Case Study
Using decision intelligence to identify prospective customers
Data | Banks | London
The Background
- A large global investment bank sought to identify new business opportunities across its group businesses to drive significant revenue growth by leveraging the scale and relationships of its wholesale banking business
- Having already successfully deployed the Quantexa solution for several risk-related use cases, the bank saw an opportunity to further utilize the solution's decision intelligence capability to drive business growth
The Challenge
- Creating a unified view of entities across business lines, and a resulting connected hierarchy view of ‘unbanked’ Parent and Subsidiary relationships
- Creating a view of company connections and individual-to-corporate connections
The Approach
- Leverage the bank’s existing Quantexa solution platform
- Provision of a Quantexa, NextWave, and client team (team of 12)
- Solution Design, Scope, and Delivery Planning
- Delivery of new scores using the new Quantexa ’Assess Scoring Framework’
- The solution approach required Data Sourcing and Ingestion, Entity Network Resolution Generation, Graph Script, Scoring, Task Loading and Re-alerting
The Impact
- Deployed to production, a significant number of client and non-client prospective connections and referral points were identified
- The newly created scores are reusable to support other use-case solutions
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