Power BI Transforming ERP Data into Strategic Vendor Intelligence
These sample Power BI project demos are personally built by me and reflect real-world supply chain scenarios. They show how I structure data, design KPIs, and create clear, interactive dashboards that turn complex information into practical, decision-ready insight.
Supplier Performance Scoreboard
Setup
Analytical Objectives
Impact
Tools & Capabilities
Power BI Dashboard
ERP systems capture detailed order fulfillment data — order dates, requested and actual delivery dates, unit costs, quantities ordered and received, and billed prices.
While this information is essential for operations, its true value is unlocked when it is structured, modeled, and analyzed with business intent.
In this project, I used Power BI to transform transactional ERP data into an integrated vendor performance dashboard. By combining order data with standard costs, contracted lead times, and overall spend, I built a data model designed to surface performance trends, pricing variability, and risk exposure.
The dashboard framework was built to answer high-value business questions:
Are suppliers consistently meeting contracted lead times?
Where are delivery variances creating operational risk?
Have unit prices shifted beyond expected tolerances?
Is spend consolidating or fragmenting across vendors?
Are internal ordering patterns contributing to unnecessary rush activity?
This approach enables:
Data-driven vendor performance reviews
Stronger negotiation positioning through historical trend visibility
Early identification of supplier risk
Improved internal procurement discipline
Executive-level visibility into spend and reliability trends
The result is not just reporting — it is a decision-support tool that drives accountability, strategic planning, and measurable operational improvement.
Tools & Capabilities Demonstrated
Power BI – Interactive dashboard development and executive-ready reporting
Power Query (M) – Data extraction, transformation, and cleansing from ERP exports
Data Modeling – Relationship design, star schema structure, and performance optimization
DAX – Custom measures for lead time variance, price change tracking, spend trends, and vendor scoring logic