Analytics engineering across Power BI, Fabric, Databricks and equivalent platforms.
hello@nashthomasanalytics.comAnalytics engineering
We build analytics systems that are fast, governed and trusted. From star schemas and semantic models to executive dashboards, we engineer analytics that decision-makers can rely on.
Analytics-ready data models with clear fact and dimension boundaries that improve metric consistency and reduce model complexity.
Semantic layers with governance, reuse and performance as first-class concerns, including Power BI and Fabric where appropriate.
Executive and operational dashboards designed for action, with a clear narrative and KPIs people interpret the same way.
Measure engineering and model tuning that cut refresh times and speed up queries on enterprise-scale workloads.
Outcome focus
We focus on clarity, repeatability and adoption, so analytics becomes a dependable operating capability rather than a collection of one-off reports.
How we deliver
Audit. evaluate model quality, KPI logic and performance constraints
Design. define the target star schema and semantic architecture
Build. implement models, measures and dashboards with governance built in
Enable. transfer standards and the operating model to your team