Objective

The issues stemming from multiple systems and associated domains need to be mapped the corresponding Domain/class. This will eliminate the human manual mapping process and the need for multiple hierarchical review processes and accurate reporting on time.

Industry: Financial Services – Banking

Services: Technology Innovation

Technology: ML/NLP Analytics

Reduction in human capacity requirements from thousands of hours to a day to run the model and validate.

Reduced the time to market from Weeks to hours.

Increased the efficiency of the solution from being able to manually deliver a specific number of batches per month to real-time mapping on streaming data.

Our Client

Our client, a Fortune 100 company, is a global leader in the financial services sector, renowned for its diverse range of banking and investment products. With a strong presence in numerous countries, it offers innovative solutions for consumers, corporations, governments, and institutions worldwide.

Challenge

Regulatory requirements mandate reporting the number of issues/complaints reported from consumer-facing systems.

Approach

Cross-linked various data assets across time to surface a social network of suspicious activities

Enterprise Transactions
Credit Bureau & Social Media

Outcomes

Mapped the issues from various Domains to the Classes of the corresponding Domains
Ability to conduct near real-time mapping and associated reporting
Enabled self-service dashboards for ad-hoc analysis for batch processing and historical. reporting

Impact

Reduction in human capacity requirements from thousands of hours to a day to run the model and validate.
Reduced the time to market from Weeks to hours
Increased the efficiency of the solution from being able to manually deliver a specific number of batches per month to real-time mapping on streaming data
Reduced dependency on Domain knowledge