Semantic Models
Clean, consistent data definitions your whole business can trust — built on enterprise-grade semantic modeling.
Stop arguing about whose spreadsheet is right. A semantic model locks in your business definitions — revenue, labor cost, covers — so every report means the same thing.
Your data gets translated into business terms you already use, not engineering jargon. If you can ask the question, you can get the answer.
Semantic models plug into Power BI, Looker, Excel, and more. No need to rip out what you already have — we build on top of it.
Jordan brings 10+ years of enterprise data architecture experience from PNC Bank, RBC Wealth Management, and Fiserv — applied at a price that works for Main Street.
Overview
If you’ve ever had two reports show different numbers for the same metric, you already know the problem a semantic model solves. Midwest Solutions Group builds semantic models that sit between your raw data and your dashboards — defining your business logic once, correctly, so every chart and report your team pulls tells the same story. No more debating whether last week’s sales number includes voids. No more rebuilding the same calculation in five different spreadsheets.
This is enterprise-level data architecture — the same approach used at Fortune 500 companies — sized and priced for independent restaurants, small chains, and local businesses across Kansas City and the Midwest.
What We Offer
- Semantic layer design and deployment for Power BI, Looker, and other BI tools
- Business metric definitions tailored to your industry — labor percentage, net sales, ticket averages, and more
- Integration with existing POS, payroll, and operational data sources
- Ongoing maintenance and metric updates as your business evolves
See how a well-built semantic model turns messy POS and labor data into clear, consistent metrics your whole team can act on.
Ready to Get Started?
Contact us today to learn more about what we can do for you.