Measured outcomes
60+ dashboards live and used daily
Decision velocity: 3× faster than the prior reporting cycle
$22M annual cost avoidance from real-time visibility into operational anomalies
Month-end close compressed from 9 days to 4 days
A diversified energy company (upstream + midstream + downstream) ran reporting on a sprawling collection of Excel files, point dashboards, and ad-hoc SQL. Operations teams couldn’t see real-time data; finance couldn’t reconcile until end-of-month.
Snowflake-based data lakehouse with streaming ingestion from operational systems. Power BI dashboards covering well-pad operations, midstream throughput, refining margins, and corporate finance. A data-modeling layer (semantic) that ensures everyone sees the same numbers regardless of dashboard.
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