Power BI for ERP Platforms

The Shift: From Reports to Dashboards

Crystal Reports is built for precision — pixel-perfect, often printed outputs that are great for operational reports, audit documents, and anything that needs to look exactly right on paper. It serves that purpose well.

But how people consume data has changed. Customers started asking about interactive dashboards they could filter, slice, and explore in real time without generating a new report every time they had a question. Power BI is built for that, and the demand for it was growing across our customer base.

These courses were built to meet that demand — giving customers the skills to connect directly to their ERP data and build dashboards that work for how their teams operate.

Two Platforms, One Framework

Trimble's ERP products serve two different customer segments. Spectrum is built for small to mid-size construction businesses. Vista is designed for larger enterprise operations. Different database structures, different customer profiles, same goal: get their data into Power BI and make it useful.

The curriculum framework is the same across both platforms. The difference is in the connection setup — ODBC configuration and schema structures vary between Spectrum and Vista, so each course is adapted for the platform customers are actually on. Once they're connected, the Power BI skills carry across both.

What the Course Covers

The goal was to take customers from zero Power BI experience to a finished, functional dashboard — no assumed knowledge, no skipped steps. The course covers the full pipeline:

• ODBC data source connection: Getting Power BI connected to the ERP database and understanding what you're looking at when the data comes in.
• Power Query and ETL: Cleaning and shaping raw data before it ever hits a report — filtering, renaming, restructuring so it's actually usable.
• Schema types and merging queries: Understanding how tables relate to each other and combining them correctly so the data makes sense.
• Normalizing data: Structuring data properly so calculations are accurate and reports don't lie.
• Basic DAX: Writing measures and calculated columns — the formulas that turn raw numbers into meaningful metrics.
• Explicit vs. implicit measures: Understanding the difference and why it matters for building reports you can trust.
• Creating date tables: Setting up proper time intelligence so customers can do period-over-period comparisons and trend analysis.
• Reports vs. dashboard design: Knowing the difference between a report page and a dashboard, and how to design each one for the people who will actually use it.