🧩 What This Covers#
I design semantic layers using DAX and TMDL that turn raw tables into understandable, business-aligned models. These models support consistent analysis, clear metric definitions, and high-performance reporting across teams and tools.
🛠Common Scenarios#
- You need consistent metrics across multiple reports or teams
- Business logic is buried in report-level formulas or ad hoc queries
- Your model feels slow, redundant, or hard to manage
- Teams interpret KPIs differently due to inconsistent definitions
- You’re moving toward a semantic layer strategy (e.g. Power BI, Fabric)
📌 What I Focus On#
- Modeling explicit, reusable business logic
- Organizing measures, dimensions, and tables with clarity and structure
- Writing efficient, readable DAX for performance and maintainability
- Using TMDL to standardize model structure and simplify version control
- Enabling trust, reuse, and scale across the reporting environment
🚀 Outcomes You Can Expect#
- Shared understanding of key metrics across teams
- Faster, more consistent reporting development
- Models that are easier to validate, extend, and reuse
- Business users and analysts working from the same reliable definitions