BI · Automation
Reporting & KPI Automation
Automated data extraction, transformation, dashboard refreshes, and KPI reporting using SQL, Python, Power BI, and Tableau, turning recurring manual reports into a hands-off pipeline.
- Domain
- Business intelligence
- Role
- Reporting automation & KPI design
- Stack
- SQL · Python · Power BI · Tableau
Context
Recurring reports were assembled by hand each cycle, exporting data, reshaping it, and refreshing dashboards manually. That work is repetitive, easy to get wrong, and scales badly as the number of reports grows.
Problem
Manual reporting consumes time that should go to analysis, and inconsistent KPI definitions make numbers hard to trust. The objective was standardized KPIs and automated refreshes.
Architecture
Engineering
- Automated data extraction and transformation
- Standardized KPI definitions across reports
- Scheduled dashboard refreshes in Power BI and Tableau
- Reduced manual, repetitive reporting effort
Outcome
Reporting shifted from manual assembly to an automated pipeline with consistent KPIs, freeing time for analysis rather than data wrangling.
Rebuilding the same report every week?
Let's automate it. Want to see how it would work for yours?