Ownership clarity
Confirm one accountable owner and one board-readable evidence packet.
Power BI executive metric trust pack.
Executive metric trust, report governance, semantic drift, access confidence, and board-ready BI evidence in one operator-readable surface.
VendorPower BI
DomainBI / Analytics
Average risk68
Evidence depth7/10
Metric trust lanes
Each lane ties Power BI governance to ownership, evidence depth, and a next executive action.
Spend and exposure posture
Tie cost, access, or workflow exceptions to a remediation queue.
Decision readiness
Summarize whether to invest, consolidate, remediate, or monitor.
Operating workflow
This is the public-safe version of a metric-trust operating loop: inventory, attest, score, and brief.
Map reports, semantic models, refresh schedules, owner records, and finance-facing metric definitions.
Confirm whether the metric owner, data owner, and executive consumer agree on the same definition.
Separate report risk from evidence depth so leadership can see whether a problem is dangerous or merely under-documented.
Turn the lane into a board-ready evidence packet with the decision, owner, and next review date.
Evidence requirements
Each report lane needs a named owner, risk score, evidence depth, and one board-readable next action.
| Lane | Risk | Evidence | Next action | |
|---|---|---|---|---|
| 01 | Ownership clarityPlatform owner | 68 | 7/10 | Confirm one accountable owner and one board-readable evidence packet. |
| 02 | Spend and exposure postureFinance and risk lead | 74 | 6/10 | Tie cost, access, or workflow exceptions to a remediation queue. |
| 03 | Decision readinessExecutive sponsor | 61 | 8/10 | Summarize whether to invest, consolidate, remediate, or monitor. |
Primary decision
Tie cost, access, or workflow exceptions to a remediation queue.
Board questionWhich Power BI metric can leadership trust, which one needs remediation, and which one should be retired or rebuilt before the next operating review?
Usage notes
These notes keep the page concrete without exposing real customer reports, private dashboards, or production credentials.
What problem does this solve?
It prevents Power BI dashboards from becoming executive theater by requiring owners, definitions, evidence depth, and next actions.
How does this connect to the portfolio?
It supports the Power BI platform signal and connects naturally to Tableau, Snowflake, dbt, VWO, and broader revenue-system governance work.
What is intentionally not included?
No private workspaces, tenant IDs, user records, customer data, or live credentialed Power BI API calls are exposed in this public demo.