Advanced Analytics
Decision-grade analytics and semantic models that turn raw data into metrics leaders actually trust and act on.
Analytics only creates value when people trust the numbers enough to act on them. We build governed semantic models and metrics layers so a “customer” or “active user” means the same thing everywhere, then deliver the dashboards, self-serve tools, and forecasts that turn that trusted foundation into decisions.
A few of these usually point here.
- 01Two reports on the same metric show two different numbers.
- 02Analysts spend more time reconciling data than analyzing it.
- 03Leaders don't trust the dashboard enough to decide from it.
What we do
Semantic & metrics layer
A single, governed definition of your core metrics so every report agrees.
Dashboards & self-serve BI
Power BI and modern BI done right — fast, governed, and genuinely self-serve.
Forecasting & scenario models
Demand, revenue, and capacity models that support planning and what-if analysis.
Embedded analytics
Analytics delivered inside the products and workflows where decisions are made.
- One source of truth for the metrics that matter
- Self-serve analytics that reduces the reporting backlog
- Forecasts leaders trust enough to plan against
We define the metrics with the people who own the decisions, model them once in a governed layer, and reconcile against source systems before anyone builds a chart.
Concrete artifacts you own.
- A governed semantic layer with one definition per metric.
- Fast, self-serve dashboards on a trusted foundation.
- Forecasting and scenario models for planning.
- Reconciliation against source systems so numbers are defensible.
Good questions.
We already have Power BI — what changes?
We fix the foundation underneath: one governed semantic model so every report agrees, then rebuild reports on top of it.
How is this different from Big Data?
Big Data builds the platform; Advanced Analytics turns it into trusted metrics, dashboards, and forecasts people act on.