Power BI Engineering Health Check
Find the technical debt hiding inside your Power BI environment. A structured, metadata-only diagnostic that pinpoints memory bloat, DAX bottlenecks, and workflow friction.
Who this is for — and why it matters
Designed for BI directors, engineering managers, and analytics leads whose semantic models have outgrown standard desktop authoring.
Why it matters: Purchasing higher Fabric capacity nodes or upgrading Premium SKUs does not resolve Cartesian relationships, high-cardinality dictionary bloat, or single-threaded DAX iterator cascades. A technical health check identifies the software-engineering root causes before they crash production.
What You Receive in the Health Check
Quantified Engineering Scorecard
Overall architectural health score graded across Model Topology, DAX Efficiency, Memory Footprint, and Git Automation.
Top 10 High-Impact Findings
Prioritized breakdown of critical performance bottlenecks and fragile calculation anti-patterns.
Root-Cause Technical Debrief
In-depth 30-minute walk-through with our Power BI engineers explaining why your model behaves as it does.
Step-by-Step Remediation Plan
Exact code snippets, measure rewrites, and modeling modifications ready for your team to execute.
6 Core Inspection Disciplines
Identify snowflake normalization, redundant joins, and ambiguous relationship topologies.
Pinpoint top bottleneck columns, high-cardinality keys, and dictionary bloat consuming RAM.
Audit slow measures for implicit context transition, iterator callbacks, and Cartesian filters.
Verify relational query folding, remove gateway refresh bottlenecks, and streamline ETL steps.
Detect measure duplication, workspace sprawl, and lack of single-source-of-truth certification.
Assess readiness for Git source control, automated deployment pipelines, and Direct Lake storage.
We do not need or ask for your underlying transaction rows, customer PII, or confidential business data. Our diagnostics operate on semantic model schema definitions (BIM, TMDL, or VertiPaq Analyzer VPAX metadata).
What happens after you submit
Triage & Secure Metadata Intake
Within 24 business hours, our team confirms receipt and sends non-disclosure confirmation along with simple instructions to export model schema metadata.
Static Analysis & Benchmark Scoring
We decompile column dictionaries, map relationship topologies, profile measure evaluation trees, and grade your model across our 6 core engineering disciplines.
Technical Debrief & Prioritized Remediation Plan
You receive the complete engineering scorecard with exact measure rewrites, partitioning advice, and an engineering consultation to review findings.