Data Strategy and Implementation for a Washington DC-based Psychological Organization
DATAECONOMY derived a data strategy for developing a Target state platform that can provide a self-service framework for Business stakeholders. DE worked with multiple stakeholders from Business and IT to derive a comprehensive data strategy, including developing an AI and Machine learning framework for future hypothesis building.
30,000
+
Hours delivered back to the business
100
+
SOX compliance in Settlement process automation
95
+
Success rate of bot case completion
6
+
For functional release of OBT, RTS and OGS
CHALLENGE
The business had issues with the longer time taken for getting data and quality of data
- No self-service, it takes longer to get the data needed for analysis, Poor quality of data
- Different stakeholders have different definitions & numbers for Critical data elements
- Member and Non-Member data is separate while both of them have many correlations
- Data is a week old, No Data Visualization Capabilities
SOLUTION
DATAECONOMY developed a comprehensive self-service framework with the right Data Governance Solution. We developed an AI / ML Framework for Hypothesis building across the membership and non-membership data to provide capabilities on content recommendations to the members.
BENEFITS
Data discovery and collection time were reduced by 40%. The overall cost of ownership was reduced by 50%.
The technology that we use to support Paysafe
JavaScript
TypeScript
Node.JS
React
Swift
Java
Objective-C
RxJava
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The Results
- 30+ processes delivered
- Over 30,000 hrs delivered back to the business
- 100% SOX compliance in Settlement process automation
- >95% success rate of bot case completion
- SDK delivered for native platforms, enabling Virtual & Live agent communications across multiple mobile platforms
