Success Story
Unified a fragmented data ecosystem into an Automated Analytics Platform for the Largest U.S. Scientific Society, enhancing data visibility and trust across the organization
About the Client
Largest U.S. Scientific Society
Challenges
- Negative membership growth rate due to limited visibility and trust in enterprise data.
- Fragmented data across multiple silos, leading to cumbersome and manual reporting and analytics processes.
- High member acquisition costs coupled with elevated churn rates.
Approach
- Discovery & Analysis: Conducted in-depth workshops with stakeholders to map existing data processes, uncover inefficiencies, and identify critical data challenges.
- Design & Strategy: Developed a Federated Data Organization Model to balance centralized governance with flexibility for localized operations.
- Prototyping & Validation: Built proof-of-concept solutions to validate automation workflows and data quality frameworks before enterprise-wide deployment.
- Implementation Roadmap: Created a phased rollout plan for governance structures, automation initiatives, and the data catalog to minimize disruption and ensure adoption.
- Continuous Monitoring: Established KPIs and monitoring systems to track improvements in data quality, integration time, and acquisition rates.
Solutions
1.Centralized data governance through a federated organizational structure.
2.Real-time data quality checks integrated during data creation.
3.Automated data operations to reduce manual intervention and improve efficiency.
4.Comprehensive data catalog implementation to enhance accessibility and usability of data assets.
Impact Delivered
200%
Increase in new member acquisition rate
70%
Reduction in manual data quality process
80%
Reduction in time for new data integration