Why reporting estates decay

The draw that never stops

Every Power BI licence, every premium capacity node, keeps drawing against the budget whether or not the dashboards on it get opened. Licensing gets committed when a report is built. It rarely gets revisited once that report stops being useful.
This is the part finance teams tend to notice first. The invoice is easy to see, but figuring out the impact its actually paying for isn't as easy to understand. Six near-identical versions of the same sales report; or a premium workspace holding two dashboards nobody has opened this quarter. None of that shows up on a standard Microsoft licencing the invoice.
So, the licence gets renewed each year. Nobody decided it was still worth the money. Nobody had the evidence to argue otherwise either.

Where it actually breaks

The visible symptom of Reporting Estate Decay is that nobody seems to fully trust the dashboards anymore. The cause usually sits upstream, in the ETL.
A pipeline built quickly to answer one urgent question gets left in place to answer every question after it. Transformations pile up, undocumented. A “quick request” to your Power BI resource or developer is usually the cause here. 
Refresh failures get retried by hand and never logged anywhere, and eventually they start getting ignored. Source systems, like NetSuite/Xero/MYOB etc change or add something to their Table Schema, and three downstream reports start behaving differently without anyone noticing.
None of this shows up as an error message. But staff do start to notice when they’ve each got a different Cost of Sales number in the same meeting.
Poor ETL doesn't break your reports today, but it’s almost guaranteed to cause problems slowly, until the dashboard is technically running and practically wrong.

The reporting decay causes a lack of trust

Catch one number wrong in front of an executive, and all of a sudden none of the reports can be trusted, finance or another team gets the impossible task of re-verifying every figure, and staff go back to tracking things manually in siloed spreadsheets.
This is predictable and expensive. A staff member now exports to Excel the second the dashboard opens and keeps their own adjusted version of the number in a spreadsheet nobody else can see.


The decaying estate grows again, same problem and the Power BI licensing draw grows along with it. That's the loop we see across most businesses alike that don’t have a structured plan for their BI/Data Suite.

Software spend: Committed at build time, rarely revisited. The draw continues after the value stops.
ETL quality: Fails quietly, upstream of anything a user can see. By the time it's noticed, it's history.
Trust: Fails all at once, and takes reports that were correct down with the ones that weren't.

The good news:

Every pattern above leaves evidence in platform telemetry, refresh logs and workspace metadata that almost no one has assembled and looked at as a whole. 
We run a four-stage audit on your Power BI dashboards to start to quantify exactly that:

1.  Access and inventory
We access your reporting metadata and usage statistic and build a complete register of what actually exists: reports, datasets, refreshes, owners.

2.  Analysis
We look for usage patterns, duplication, definitional drift and refresh health, examined against the register, plus short conversations with a handful of report consumers.

3.  Findings and roadmap
Findings are drafted walked through with you before anything is written up, so nothing in the final report is a surprise.

4.  Report
A sequenced, costed roadmap covering what to retire, consolidate or fix, with an executive summary built to be circulated.

Ask us to run it.