Case Study
Reputational Risk
Minimizing regulatory risk through legacy optimization and modernization.
Challenge
- A Leading Wealth Management Institution was at risk of failing to implement mandatory regulatory change, because its client profile database suffered from lack of data governance, inconsistent data access layers and unnecessarily complex designs. Further the database was using end-of-life technology that introduced security, stability and reputational risk to the client’s most critical asset.
- A future state database design architecture, data governance methodology and roadmap was needed.
Solution
- To address these issues and objectives, the technology principals chose to work collaboratively with EEI for their database design expertise as well as their data governance and project leadership capabilities.
- The EEI Team performed a detailed current state assessment highlighting risks and trouble areas; created a future state roadmap; instituted data governance and best practices data modeling techniques; created Conceptual, Logical and Physical Data models.
Business Value
- Optimized models make for more efficient data access as well as increased ability to handle and implement future regulatory changes. Database efficiencies and design have simplified data access and downstream processing.
- New designs, structures and definitions have facilitated data quality efforts leading to better user experience and increased auditing capabilities.
- “Smoothest ever” in-place database upgrade eliminated security and reputational risks as well as creating a more stable, sustainable environment. All future upgrades will be based on EEI’s employed methodologies.