What you're responsible for
- Building and maintaining semantic models, reports, and dashboards
- Optimizing refresh performance and scheduling across datasets
- Understanding report adoption to prioritize development work
- Ensuring data quality and freshness for downstream stakeholders
- Documenting dataset ownership, lineage, and lifecycle status
- Responding to data quality incidents and refresh failures
Common issues we see
- No visibility into which reports are actually used — making it impossible to prioritize maintenance
- Spending time optimizing datasets without knowing which tables are the real bottleneck
- Stakeholders asking about data freshness that you cannot easily verify across dozens of models
- Power BI usage data disappearing after 30 days, making quarterly and annual reporting impossible
- Row count anomalies going undetected until a VP asks why the numbers look wrong
- Difficulty proving ROI of BI investments to leadership without long-term usage data
- Governance metadata scattered across spreadsheets, SharePoint, and tribal knowledge
- Refresh collisions causing cascading slowdowns during peak morning hours
What changes with SummitView
- See report adoption data beyond 30 days to understand what your stakeholders actually use
- Pinpoint slow tables with per-table refresh timing and historical comparison badges
- Detect row count anomalies and data freshness issues automatically — before users report them
- Track refresh schedules and detect collisions across all datasets in your tenant
- Tag assets with ownership, criticality, and lifecycle status in a centralized governance editor
- Generate usage evidence to justify keeping, retiring, or investing in specific reports
- Get AI-powered recommendations on optimization opportunities using your own API key
Key capabilities for BI teams
Built for teams managing Power BI at scale.
Usage analytics
See who views which reports over months and years — not just the last 30 days. Identify abandoned assets, prove adoption, and justify investments.
Refresh performance
Per-table timing shows exactly which table is the bottleneck. Historical averages highlight regressions before they become incidents.
Data quality signals
Row count anomaly detection flags unexpected drops or spikes. Know immediately when a table loses 30% of its rows after a refresh.
Governance tools
Tag datasets with ownership, criticality, lifecycle status, and intended audience. Keep governance operational, not stuck in spreadsheets.
Scheduling insights
Detect refresh collisions across datasets. See which models compete for the same time window so you can stagger schedules.
AI recommendations
BYOK AI analysis of your environment. Get optimization suggestions using your own API key — data goes directly to your provider.
How teams deploy SummitView
Two deployment options — both read-only with least-privilege permissions.
Cloud Connect (agentless)
Register a service principal with read-only Power BI Admin API permissions. No software to install. Get usage analytics, refresh monitoring, and inventory within minutes.
Windows Agent (optional enhancement)
Add per-table refresh timing for PPU/Fabric workspaces, row count anomaly detection, and reliable Pro workspace refresh status. Lightweight Windows service using delegated permissions.
All permissions are read-only. SummitView cannot modify anything in your Power BI environment. Full security details
Frequently asked questions
Yes. SummitView retains usage history indefinitely. You can analyze report adoption over months and years, track seasonal trends, and compare year-over-year usage to justify investments or identify reports ready for retirement.
Yes. SummitView tracks view counts and unique users for every report. You can filter by time range to find reports with zero views over 60, 90, or 180 days. This helps your team prioritize maintenance and clean up abandoned assets.
Yes. SummitView includes a governance editor where you can tag datasets and reports with ownership, criticality level, lifecycle status, and intended audience. This metadata is searchable and displayed alongside operational metrics.
For PPU and Fabric workspaces, SummitView captures the duration of each individual table refresh. It compares current timing against historical averages and shows percentage-based faster/slower badges so you can spot regressions immediately.
SummitView tracks row counts per table after each refresh. When a table’s row count deviates significantly from its historical average (e.g., drops 30% or spikes unexpectedly), an alert is triggered. Schema change detection is also available.
Core features like refresh monitoring and inventory work with standard Power BI permissions. Usage analytics requires Tenant.Read.All (admin consent). Your Power BI admin can grant this even if your team doesn’t have admin access directly.
SummitView learns your refresh schedules across all datasets and identifies overlapping windows. When multiple large models refresh simultaneously, it flags the collision so you can stagger schedules and reduce capacity pressure.