When numbers disagree, decisions wait.
Executive dashboards and operational intelligence that speed the call: real-time KPI visibility, governed self-service analytics and embedded customer-facing BI, built on one trusted set of metrics.
Azure
Where this sits in the three stagesBuilt inside Stage 2, Build; scoped in Assess.
We build the metrics layer and the surfaces on top of it, so the whole organization decides from the same numbers.
Real-time KPI visibility for leaders and frontline teams, built on one trusted set of metrics.
Let teams answer their own questions safely, without waiting on a central queue.
One definition of every metric, so revenue means revenue everywhere it appears.
Analytics inside your product that turn data into a feature customers pay for.
InsuranceProducing the weekly risk report
We build the metrics layer and BI on the lakehouse and cloud your risk and security teams already approve.
DatabricksWithout lineage and governance, BI quietly falls out of use. So governance is how the work is done.
Each KPI is defined once and reused across every tool and report.
Teams explore curated datasets, with access set so they never break trust in the numbers.
Everything is built on the lakehouse and cloud your risk and security teams already approve.
Executive dashboards and operational intelligence that speed the call: real-time KPI visibility, governed self-service analytics and embedded customer-facing BI, built on one trusted set of metrics. We build the metrics layer and the surfaces on top of it, so the whole organization decides from the same numbers.
Four things. Executive and operational dashboards: real-time KPI visibility for leaders and frontline teams. Governed self-service analytics, so teams answer their own questions safely without waiting on a central queue. A semantic and metrics layer with one definition of every metric. Embedded customer-facing BI: analytics inside your product that turn data into a feature customers pay for.
Each KPI is defined once and reused across every tool and report, so revenue means revenue everywhere it appears. Teams explore curated datasets, with access set so they never break trust in the numbers. When numbers disagree, decisions wait; one definition serves many decisions.
Yes. Governed self-service analytics let teams answer their own questions safely, without waiting on a central queue. Without lineage and governance, BI quietly falls out of use, so governance is how the work is done: curated datasets, access set so no one breaks trust in the numbers, and one definition of every metric.
We build on Claude and Databricks. We build the metrics layer and BI on the lakehouse and cloud your risk and security teams already approve. Decision intelligence is built in Stage 2, Build, and scoped in Stage 1, Assess.
For Colliers, a commercial real estate firm, we unified market data from 60+ markets into one decision-ready platform, built on Snowflake, Python and Airflow, a Level 2 (L2) system.
