Power BI Health Check
Identify performance, reliability, governance, and maintainability risks and leave with a prioritized improvement roadmap.
- Up to three representative reports
- Architecture and governance review
- Executive findings presentation
We help growing and enterprise teams replace fragmented, manual reporting with governed Power BI solutions—from data pipelines and semantic models to dashboards, deployment, and adoption.
Get to know Kenneth Davadilla and the practical, outcome-focused approach behind Upstream Digital Philippines.
Choose a focused assessment, a modernization engagement, or dependable ongoing support.
Identify performance, reliability, governance, and maintainability risks and leave with a prioritized improvement roadmap.
Replace manual or fragile reporting with a tested, documented, production-ready analytics solution.
Access senior Power BI expertise without adding a full-time specialist to your organization.
Multiple departments relied on different BI tools, static reports, fragmented data, and scattered governance—creating licensing cost and manual effort.
A centralized PostgreSQL reporting warehouse with Python and Apache Airflow ETL pipelines integrated CRM, ERP, and API sources. Curated views powered more than 1,000 Power BI reports across business units.
Reduced dependence on costly BI platforms, improved operational data availability, automated reporting work, and established a stronger analytics governance foundation.
Short demonstrations of modern Power BI and Microsoft Fabric capabilities, from AI-assisted analysis to automated environment provisioning.

Kenneth Davadilla brings senior experience across Power BI, Microsoft Fabric, Power Platform, data architecture, governance, automation, and technical delivery leadership. Engagements can span discovery, pipelines, modeling, visualization, security, testing, deployment, documentation, and enablement.
We will review your environment, desired outcome, and timing, then respond within one business day.
Please do not submit credentials or confidential datasets.