Data platform lead
Owns the certified metrics the business relies on.
ACCURACY · METRIC DRIFT
The agent's number does not match the certified dashboard
When the agent computes a metric its own way, two numbers disagree and neither is trusted. One governed metric layer makes them the same number.
THE PROBLEM
An agent that computes a metric on its own can return a figure that disagrees with the certified dashboard, leaving two numbers for the same question and no clear source of truth.
THE PROBLEM ANATOMY
Who it hits
Analytics engineer
Owns the dashboard the agent's answer now contradicts.
Business analyst
Owns the decision made on whichever number is believed.
The situation
A team runs an agent alongside certified dashboards. A user asks for a familiar metric, the agent computes it from the tables, and the result does not match the dashboard everyone already trusts.
Now the same question has two answers. The reconciliation is manual, the definitions live in different places, and confidence in both the agent and the dashboard drops.
The specific challenges
Two numbers, one question
the agent's figure disagrees with the certified one
Definitions diverge
the agent recomputes a metric the dashboard already defines
Manual reconciliation
someone traces which number is correct after the fact
Shared distrust
the mismatch undermines both the agent and the dashboard
WHAT IT COSTS
PRACTICAL
Reconciliation work
analysts trace two definitions to one truth
Duplicated logic
the same metric is defined in the agent and the dashboard
BUSINESS
Wrong decisions
a call gets made on the number that happened to be shown
Eroded authority
certified reporting loses standing once it can be contradicted
EMOTIONAL
Second-guessing
users no longer trust a number without checking the other
Ownership friction
the platform team defends metrics it thought were settled
THE WAY OUT
One governed metric layer makes the numbers the same
When an agent computes a metric its own way, two numbers disagree and neither is trusted. A single shared metric layer eliminates that drift.
Swap in a pilot of e6data's query engine alongside the existing BI stack to:
Compute from one definition
the agent and the dashboards resolve metrics through the same governed layer, so a question returns one figure. The dashboards and open tables stay in place. What changes is that the agent stops recomputing what BI already defines.
Reconcile by default
with a single metric layer, the agent's answer and the certified report agree without a manual trace. The existing certified metrics stay. What gets returned is one number the business can stand behind.
Keep the stack
the tables, catalog, and BI tools stay as they are, and adoption is an endpoint change rather than a migration, needing only fast validation of the required integration mapping. What is added is a shared definition under both surfaces.
| One | definition for agent and BI |
|---|---|
| Reconciled | with certified dashboards |
| 0 | data movement |
The result is one number for a question, shared by the agent and the certified dashboard. Setup and connection details are in the query engine documentation.
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