Outcomes you can measure

Problem

Slow warehouse queries caused dashboards to load in minutes and reports to time out during peak analysis hours.

Approach

Performance audit → query rewrites → indexing strategy → statistics refresh → workload monitoring and documentation.

Outcomes

• Query response time improved ~10x (minutes → seconds range)
• Higher concurrent analyst capacity without timeouts
• AI pipeline readiness improved by removing data-layer bottlenecks

Problem

A team processed hundreds of invoices/forms monthly with inconsistent formats, leading to manual extraction and errors.

Approach

POC with structured extraction → validation rules → human-in-the-loop review → deployment with monitoring.

Outcomes

• Significant reduction in manual processing time (hours → review minutes per batch)
• Improved consistency and fewer data-entry errors
• Clear audit trail for each extracted field

Problem

Leadership relied on spreadsheets and delayed monthly reports, making it hard to spot issues early.

Approach

Define KPIs → connect sources → build data model → dashboard design → enable self-service + training.

Outcomes

• Faster decision cycles with real-time KPI visibility
• Reduced manual reporting workload for analysts
• A single source of truth across teams

Problem

Month-end reporting on Teradata regularly spilled past SLA. DBQL showed a small set of steps dominating AMP time while stats were stale on large tables.

Approach

DBQL triage → explain review → targeted stats plan → two high-impact SQL rewrites → workload slot check for peak windows.

Outcomes

• P95 for the worst report band dropped from double-digit minutes to under two minutes in tests
• Roughly 35% less total AMP CPU on the same report set after rewrite and stats work
• A written playbook the internal DBA team reused for the next close cycle

Problem

Three teams published their own Power BI datasets with different definitions of margin and utilization, causing executive mistrust and failed refreshes.

Approach

KPI workshop → single semantic model outline → workspace and gateway pattern → row-level security sketch → train champions.

Outcomes

• Refresh failures dropped from several per week to isolated incidents with clear owners
• Executive deck moved to one certified dataset within the pilot scope
• Self-service requests dropped duplicate dataset count by about half in thirty days