Power BI

Dashboards built as decision tools, not report dumps

Interactive previews below are static representations of production Power BI workspaces. Live walkthroughs with anonymised data are available on request.

Executive Revenue Cockpit

Power BI · Finance

ARR

$42.6M

+8.4% QoQ

Gross margin

71.2%

+1.9 pts

Pipeline cov.

3.4x

Volume by period

Trend

Power BI · Finance

Executive Revenue Cockpit

Rolling 13-month revenue, margin and pipeline coverage with drill-through to region, product and rep. Row-level security by business unit.

Row-level securityIncremental refreshField parameters

Supply Chain Control Tower

Power BI · Operations

OTIF

94.1%

+12 pts

Lead time

6.8 d

-1.4 d

Open exc.

37

Volume by period

Trend

Power BI · Operations

Supply Chain Control Tower

OTIF performance, supplier lead-time variance and exception queues refreshed hourly from Azure SQL with composite models.

Composite modelHourly refreshAnomaly flags

Customer Health & Retention

Power BI · Customer Success

Net retention

112%

+6 pts

At-risk ARR

$3.1M

Avg. health

78/100

Volume by period

Trend

Power BI · Customer Success

Customer Health & Retention

Churn-risk scores from the ML pipeline blended with product usage and support signals, segmented by tier and tenure cohort.

ML score integrationCohort matrixWhat-if parameters

Delivery standards

How these dashboards are built

Semantic model first

Star schemas, explicit measures and field parameters so report authors reuse one governed definition of every metric.

Performance by design

Incremental refresh, aggregations and DAX tuned against Performance Analyzer — sub-second visuals on 40M+ row facts.

Governed distribution

Row-level security, deployment pipelines and certified endorsement across dev, test and production workspaces.