Enterprise and Customer Self-Service Analytics
SUMMARY
A top US Credit Bureau partnered with Exusia to improve its ability to create new data products and enhance existing algorithms by establishing a centralized, scalable data environment capable of merging consumer credit data with targeted external data.
Problem Statement
- Inability of data scientists to access both internal and external data to support new data product R&D and machine learning algorithms
- Performance SLA and storage challenges associated to high-volume data crunching to support next generation analytics
- Limited ability to meet client demand, including industry insights
Exusia Solution
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Created a scalable architecture and data platform capable of supporting exponential data volumes for internal and external customer
analytics - Built reusable, Hadoop-based framework to accelerate onboarding of new data sources for data science and machine learning purposes
- Benchmarked various open-source technology options to meet critical functional and performance requirements
Business Outcome
- Improved time to market and ability to create new data products and services
- New revenue channels thru enablement of client self-service analytics
- Optimization of operational systems thru removal of competing analytical workloads
