solving a data maze with AI precision
When Arvin Brown, Head of Data Management at a leading alternative asset intelligence firm in London, found that its highly manual and fragmented data collation processes were sabotaging accuracy levels, creating persistent inconsistencies, and weakening the company’s competitive positioning, he turned to Infosys BPM for support. This case details how Infosys BPM’s AI-powered data profiling assistant helped automate operations and significantly increase data coverage, while reducing manual efforts by 80%, bringing a 60% drop in false positives, and achieving close to 98% accuracy for all datasets.
Approach summary:
- Developed an AI-powered Data Operations-as-a-service platform
- Established automated workflows for data collection, profiling, and validation
- Introduced an ethical shortlisting and data sourcing tool
- Turned raw information to ready-to-use records
- Created a fully transparent audit trail
- Set up automatic refresh cycles
Key Benefits:
200,000
Contacts successfully profiled per month
60%
Reduction in false positives
~80%
Drop in average handling time per contact
98%
Accuracy reached in 75% of datasets
23%
Increase in contacts acquired
10%
Increase in firms covered
