Description: Below is your **Executive One-Page Win Story**, rewritten using best-practice executive communication standards: concise, outcome-driven, and business-focused. This version is polished, clear, and appropriate for VP/CIO/Director-level audiences.
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# **Executive Win Story: Restoring Regulatory Dashboard Performance Through Smart Data Partitioning**
## **Business Problem**
Two critical Reg E regulatory Tableau dashboards—
1. **Reg E Debit Card Inventory Aging** and 2. **Reg E Unassigned Aging**— were experiencing severe performance degradation and delays. These dashboards rely on the Pega Datamart housed in the Business Analytics data warehouse, which processes **1.4+ billion rows across 1+ TB** of data in **15 Pega archive tables**. The delays created operational risk and potential regulatory reporting impact.
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## **Key Challenges**
* Extremely large data volumes (1.4B+ rows) causing slow queries and long refresh times. * Heavy compute contention from multiple downstream analytics consumers. * Limited available CPU, I/O, TEMPDB, and storage capacity in the production environment. * Need for a solution that minimized downtime and avoided business disruption.
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## **Solution (with Devin.ai Acceleration)**
The application team evaluated optimization options and leveraged **Devin.ai** to accelerate design and implementation. The final solution implemented **monthly range partitioning** across all **15 Pega archive tables**, along with index rebuilds aligned to the new partition schemes.
Because the data environment was already near maximum utilization, the team performed a detailed risk and approach analysis:
* **OFFLINE mode**: fastest, but required downtime * **ONLINE mode**: minimal downtime but required significantly more TEMPDB, CPU, and I/O
With recommendations from Devin.ai, combined with DBA and application team expertise, the team executed a **hybrid OFFLINE + ONLINE approach**, balancing speed with business continuity. This allowed completion of the work **within a few days** with **minimal downtime** and **no impact to business processes**.
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## **Business Benefits & Outcomes**
### **? Restored Dashboard Availability**
Reg E dashboards now refresh reliably and consistently, supporting timely regulatory reporting.
### **? Major Performance Improvements**
Query runtimes improved dramatically—from **45–80 hours** down to **15–20 hours** after the partitioning work.
### **? Cost & Storage Optimization**
Compression and partition alignment delivered meaningful storage savings.
### **? Zero Business Disruption**
All existing reports and downstream processes continued to operate without requiring user changes.
### **? Streamlined Daily Operations**
Daily data cleanup and archival processes are now more efficient due to improved partitioned data structures.
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## **Strategic Impact**
This win strengthens the reliability of regulatory reporting, reduces operational risk, and improves overall data platform performance for analytics teams. It demonstrates the effectiveness of combining AI-assisted engineering (Devin.ai) with cross-team collaboration to solve high-complexity, high-volume data performance challenges.