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capacity

What a capacity upgrade fixes — and what it will not

More CU does not fix GatewayNotReachable or gray Native Query. Know the before/after that capacity can actually move.

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October 25, 20241 min readBy Power BI Analytics Team

Teams buy capacity hoping “Everything will be faster.” Separate outcomes capacity can change from problems that need modeling or gateway work.

Often improves after upgrade

  • Concurrent refresh throughput (less time in Queued).
  • Large Import model feasibility and incremental refresh policies.
  • Interactive DAX headroom when the model was purely memory/CPU bound on capacity.

Does not improve with SKU alone

Credential failures, personal gateways, missing query folding (View Native Query gray), and DirectQuery hitting unindexed SQL. Those still Fail or spin after an upgrade. Likewise, measures like unbounded SUMX over facts remain slow — Performance Analyzer will still show VertiPaq SE / Formula engine hotspots independent of SKU.

Publish a before/after: metrics app CU charts + three refresh history durations + one interactive page timing. If only CU charts move but user timings do not, keep investigating DAX/SQL — do not buy the next tier on autopilot.

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Apply this insight in your organization

Power BI Analytics turns reporting guidance into a governed first release with clear owners, definitions, and adoption.

capacity

Illustrative KPI view

Sample model

Revenue

$7.3M

+2.3% vs LY

Gross margin

29.7%

-0.3 pts

Decision cycle time

5.5 days

+0.6 days

Open exceptions

17

-7 vs last week

Trailing 12 periodsvs plan
On track
60%
Watch
25%
Critical
13%

Related Power BI topics

Move from this article into services, industries, audits, and proof points on the same subject.

Response within one business dayClear first-release scopeGoverned KPI definitionsSecurity-aware delivery

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