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Every week on two platforms is value you haven’t unlocked yet.

Wiiisdom validates every report and dashboard before and after the move, including accuracy and performance, so you cut over fast, with confidence, and start realizing value on day one.

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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

A migration can pass every technical check and still break trust.

Reports that fail loudly get fixed. The danger is the dashboard that renders cleanly but returns a different number than the source environment, because a calculation behaved differently after the move. No standard testing tool flags that.

That regression surfaces in production with users over weeks. Every one of them erodes confidence in the platform that was supposed to be an improvement. Rebuilding that trust takes longer than the migration itself. Meanwhile, every day spent managing two environments in parallel is a day of double cost and deferred value. The new platform has capabilities your teams need. Validating with confidence is what lets you get there faster.

Three forms of exposure

Silent regressions

Dashboards render fine but return a different number than before the move.

Sampling gaps

Manual QA checks a fraction of content. Users find the rest in production.

Extended parallel run

Incomplete validation keeps two platforms live and two bills running.

bi migrations errors

Govern the full migration lifecycle, at full scale.

Compare every asset, not a sample.

Wiiisdom compares migrated content against its source equivalent, field by field and metric by metric, across every report and dashboard. Regressions are flagged before go-live.

  • Field-by-field comparison against the source baseline.
  • Full coverage on every run, not a sample.
  • Regressions flagged before go-live, not after.
bi migrations automated regression testing

Confirm performance holds before and after the move.

A migrated dashboard can return the right number and still take three times as long to load. Wiiisdom captures a baseline on the source, then measures again on the target.

  • Captures a performance baseline on the source environment.
  • Measures load and rendering on the target and compares.
  • Flags assets that got slower before users feel it.
bi migrations performance validation

A migration is the best chance you will get to start clean.

Set guardrails before the proliferation starts again. Wiiisdom governs the migrated platform from day one: continuous certification, performance monitoring, and lifecycle controls, built in from the start.

  • Guardrails in place before content starts proliferating again.
  • Continuous certification and monitoring from the first day live.
  • A governed base, ready for AI adoption.
bi migrations post migration governance

Modern BI platforms update on a regular cadence of upgrades and patches you do not control.

Wiiisdom runs regression testing with every update, so a vendor release never quietly breaks production.

  • Regression testing across every upgrade and patch.
  • Capacity management to keep compute spend in check.
  • Confidence that a vendor update will not break production.
bi migrations modern bi era

From extended parallel run to confident cutover.

The time between your migration kickoff and your go-live date is not just a technical risk window. It is a cost window. Closing it faster is directly tied to when the value of modernization starts.

Without Governance
  • Two platforms, two bills. Manual QA keeps both environments live until someone builds enough confidence to cut over.
  • Regressions found by users. Something breaks, a ticket arrives, trust erodes. The new platform starts its life on the back foot.
  • New capabilities deferred. Every week spent validating manually is a week your teams can't use the features the migration was supposed to unlock.
  • Migration debt on arrival. Without guardrails set on day one, content proliferates and the new environment inherits the problems of the old one.
With Wiiisdom
  • Shorter parallel run. Full automated coverage on every report and dashboard means you reach cutover confidence in weeks, not months.
  • Regressions caught before users see them. Field-by-field comparison before go-live. Trust is built before cutover, not repaired after.
  • ROI from day one. Faster cutover means faster access to the features and capabilities the modernization was designed to deliver.
  • Governed from the start. Guardrails, certification, and monitoring are in place before content proliferates. The new environment starts clean and stays clean.

One validation approach across every kind of move.

Wiiisdom connects via API and is not constrained by the hosting model or platform generation.

01

Tableau Server to Tableau Cloud

Move with full accuracy and performance coverage.

02

Tableau Cloud upgrades

Validate content stays correct and fast across updates.

03

Tableau to Power BI

Reconcile content moving between platforms, field by field.

04

SAP BusinessObjects upgrades to BI 2025

Confirm reports behave identically through the upgrade.

05

SAP BusinessObjects to Power BI or Tableau

Validate the move onto a modern platform.

06

Database migration

Reconcile values when the underlying data source changes.

Wiiisdom didn’t just provide a tool, they gave us a framework that grew with us, adapting to every challenge in our 18,000-dashboard migration.

Senior Manager, R&D Business Technology, Pfizer

Go deeper on BI upgrades and migrations.

Guides, checklists, and customer stories to help you plan a migration that keeps trust intact and shortens the path to value on the new platform.