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Two bills. Both climbing. Neither predictable.

Your BI platform and the cloud warehouse beneath it both scale with usage nobody can control.

Modern BI is metered on two layers at once. Badly designed reports, out-of-best-practice behaviors, duplicated content, heavy semantic models, and now AI analytics demand more capacity from your BI platform, and fire more and heavier queries at the cloud warehouse underneath it. As users move from dashboards to AI-driven exploration, natural-language prompts, and automated analysis, usage becomes even harder to predict and control. Both bills rise with usage, and nothing out of the box tells you which assets, behaviors, or AI interactions drive either. Wiiisdom makes the cost structure visible at the asset level and gives teams the controls to bring it back in line with value.

The analytics governance platform for the world’s most data-critical enterprises.

Fannie Mae
Red Hat
FDA
Pfizer
Airbus
UCLA
Lockheed Martin
EPA
Spire Healthcare
Fannie Mae
Red Hat
FDA
Pfizer
Airbus
UCLA
Lockheed Martin
EPA
Spire Healthcare

You are billed for usage nobody can see.

Modern BI is metered on two layers. Your BI platform charges for the capacity your content consumes, and every query it fires runs on the cloud warehouse underneath, which bills for compute. Both bills are real, but the usage driving them is invisible: which reports are badly designed, which behaviors fall outside best practice, which content is duplicated, which models are oversized. Nothing in the platform tells you, so neither bill is predictable.

It is not only that content accumulates. It is that badly designed reports reach production unchecked, out-of-best-practice usage generates compute all day, and there is nothing out of the box to monitor any of it. By the time the invoice arrives, the cause is already buried in usage logs nobody has time to read.

Three forms of exposure

No visibility

Nothing out of the box ties compute back to the assets and behaviors that cause it.

No guardrails

Badly designed reports and rogue usage reach production with nothing stopping them.

It compounds

Every duplicate, heavy semantic model, and AI query stacks more compute on the same bill.

error bi finops

The capabilities that align analytics spend to value.

See the outage coming. Spread the load instead of buying more capacity.

Wiiisdom watches platform load and predicts when workloads are heading for the ceiling, the point where dashboards slow to a crawl or the platform goes down. With that warning, teams can spread or reschedule heavy usage and refreshes to stay under the limit, instead of reflexively buying the next, more expensive capacity tier just to be safe.

  • Predicts capacity saturation and outage risk before it hits.
  • Lets teams spread and reschedule heavy workloads to stay under the ceiling.
  • Avoids costly capacity upgrades bought just to be safe.
bi finops capacity and outage prevention

Map every cost to the asset that drives it.

Wiiisdom ties compute consumption to individual dashboards, reports, and queries, and surfaces which cost the most relative to their usage. The cost conversation stops being a platform-level abstraction and becomes a specific, prioritized list you can act on.

  • Compute mapped to individual assets, not just the platform total.
  • Ranks cost against actual usage.
  • A prioritized starting point for optimization.
bi finops usage analytics and cost visibility

Stop paying for content nobody uses.

Wiiisdom identifies orphaned, duplicate, and unused content and runs the workflows to retire or consolidate it. Content that delivers no value stops consuming compute. Retirement is managed, documented, and reversible where it needs to be.

  • Finds orphaned, duplicate, and dead-weight content.
  • Managed retirement and consolidation workflows.
  • Reversible, with a full record of what was removed.
bi finops lifecycle governance and retirement

Stop badly designed content before it reaches production.

Define the design and efficiency standards content has to meet, and Wiiisdom enforces them as guardrails in the development workflow. Heavy designs, full scans, and out-of-best-practice patterns are caught before they ship, not discovered at invoice time, so the environment stays fast and economical by default.

  • Enforces design and efficiency standards as pre-production guardrails.
  • Blocks heavy designs and out-of-best-practice patterns before they ship.
  • Keeps compute proportional to value, by default.
bi finops guardrails and standards

The usage that quietly runs up both meters.

Badly designed reports

Full scans and heavy designs that cost far more compute than they need to.

Rogue behaviors

out-of-best-practice usage that fires compute all day.

Content duplication

The same report rebuilt many times over, each copy refreshing.

Heavy-footprint assets

Oversized data sources that consume capacity and warehouse compute.

I have done capacity planning for ten years, but as times get harder we get far less room to scale our instances up. The real win is not scaling too fast for the wrong reasons, and at least three quarters of our major Power BI incidents would have been anticipated with Wiiisdom.

Head of DataViz, Global luxury group

From connected to continuously governed.

01

Connect instantly

Wiiisdom connects to your BI platform via API in minutes, with nothing to deploy.

02

Retrieve and build on history

It pulls your usage and cost history, then builds on top of it rather than starting from zero.

03

Score by cost

Assets are scored by cost against real usage, flagging where optimization will pay off most.

04

Optimize

Retire dead weight, fix heavy designs, and consolidate duplicates through managed workflows.

05

Govern continuously

Guardrails, monitoring, and alerts keep spend aligned to value over time.