Build a Power BI Audit Log Governance Dashboard

The Power BI Governance Dashboard: Find Waste, Flag Risk, Fix Cost Creep

What this session covers

• The quiet red flags hiding in audit logs (and why most admins miss them)

• The non-log data you must join (tenant settings, workspace metadata, license assignments, AAD signals)

• The handful of metrics that actually expose sprawl, waste, and risk

• Visualization patterns that make executives act (not just nod)

• A 30-day rollout to stand up a live governance dashboard

Signals to mine from Audit Logs (the canaries)

• After-hours surges by unusual IPs on sensitive content

• Repeated Add/Remove Member events (privilege creep/insider risk)

• External shares clustering outside business hours

• Premium workspace activity bursts with no matching business need

• Long tails of “never-opened” reports and dormant datasets

Beyond the logs: add these data sources

• Tenant settings: who can publish, share externally, invite guests, export data

• Workspace metadata: owner, admins, Premium status, last activity, capacity

• License tables: assigned vs. actually used (by feature and recency)

• Azure AD: sign-in risk, device, geo, and conditional access outcomes

Metrics that expose sprawl, waste, and risk

• Inactive Premium users: licensed but no Premium feature use in N days

• Orphaned workspaces: no active owner/admin or owner left org

• Dormant content: datasets/reports with zero views or failed refreshes in N days

• Refresh failure rate: % failures and longest “stale data” duration

• External sharing velocity: new external viewers/links per week (by workspace sensitivity)

• Workspace proliferation: net new workspaces per month (spikes = shadow IT)

• Premium capacity drain: capacity hours vs. active consumption (idle burn)

Executive-ready visuals (that trigger action)

• Department heatmap: Premium seats vs. Premium usage (RAG by waste)

• Trend lines: refresh failures and external shares (7/30/90-day)

• “Ghost Towns” table: Premium workspaces with <X views and >Y cost

• Anomaly strip: after-hours access spikes, repeated membership churn

• License harvest card: seats to reclaim this month and projected savings

Fast wins (this week)

• Identify and reclaim inactive Premium licenses (>60 days no use)

• Auto-flag orphaned workspaces; assign owners or archive

• Set alerts for refresh failures >2 cycles or stale >48h

• Highlight top external-share outliers; review against policy

• Turn on “new workspace review” for contractor/guest creators

30-day rollout plan

• Week 1: Connect audit logs, tenant settings, license tables, AAD sign-ins; define sensitivity tiers

• Week 2: Model entities (Users, Workspaces, Content, Licenses, Events); compute core KPIs

• Week 3: Build exec dashboard (5–7 tiles max), plus an analyst drill-through page

• Week 4: Enable alerts (email/Teams) for thresholds; run a “license harvest” and “orphan cleanup” sprint

Guardrails and hygiene

• Least-privilege for connectors; service principals for refresh

• Document owners for every Premium workspace; failure SLAs for refresh

• Quarterly policy drift check: tenant settings vs. governance standard

• Track cost-to-value: $/view and $/active user by workspace

Success KPIs

• Premium waste reclaimed (seats and $/quarter)

• External sharing incidents reduced (% and time-to-revoke)

• Refresh reliability (failure rate ↓, stale durations ↓)

• Orphaned workspaces resolved (time-to-owner/time-to-archive)

• Exec adoption: monthly actions driven by the dashboard (reallocations, closures, policy changes)

Bottom line
Stop squinting at rows of events. Correlate the right signals, surface the few KPIs that matter, and let a living dashboard cut license waste, shrink risk, and end the “where did this report come from?” mystery—for good.