Migrating BI tools without losing your users’ trust

A migration is won on trust

Changing BI tools has become common: end of support, licence costs, consolidating tools after an acquisition, moving to the cloud. Technically, vendors provide connectors and sometimes conversion assistants. Yet many migrations stall for a simple reason: on the first Monday, a director compares the revenue in the new dashboard with the old one, and the two do not match.

From then on, everyone keeps their old report “just in case”, spreadsheet exports multiply and the new tool becomes one more cost. A successful migration is therefore prepared as much on the users’ side as on the data side.

1. Take inventory and rationalise before migrating

A BI estate accumulates reports over the years: duplicates, personal versions, dashboards nobody opens any more. Migrating everything as it is means paying twice for what no longer has value.

• Measure the real use of each report from the current tool’s activity logs
• Group duplicates and identify the reports that are critical for steering
• Decide with each department what is migrated, merged or dropped

This sorting reduces scope, cost and risk. It also gives the business a first chance to take part, well before cutover.

2. Convert the models, not just the screens

The heart of a report is not its layout but its calculations: implicit filters, business rules hidden in a formula, the way a credit note or a currency is handled. These are what create discrepancies.

• Document each indicator before rebuilding it: definition, source, filters and exceptions
• Centralise calculations in a shared data model rather than in each report
• Have the definitions approved by the data owners concerned

3. Run both tools in parallel

The parallel run is the step that builds trust. For several weeks, the old and the new tool run on the same data, and figures are reconciled indicator by indicator.

• Compare the main indicators automatically at every refresh
• Explain every discrepancy: a conversion error to fix, or a historical error of the old tool to document
• Set the cutover date only once discrepancies are explained and accepted by the business

4. Support every user profile

BI users do not all have the same needs. An executive checks a few indicators on their phone, a financial controller explores the data, an analyst builds their own reports. One single training course suits no one.

• Appoint champions in each department, involved from the inventory and trained first
• Offer short training paths by profile, on the reports each person actually uses
• Provide close support in the first weeks: drop-in sessions, frequently asked questions, a dedicated channel
• Announce the schedule and what changes, before, during and after cutover

5. Cut over, then switch off the old tool

Cutover happens in waves, by department or by country, starting with a willing team. Once a wave is stable, the old report becomes read-only, then disappears. As long as the old tool stays open, it remains the reference for some users, and the migration is not over.

Indicators of a successful migration

• Adoption rate: the share of active users in the new tool, by department
• Figure discrepancies still open, and how long they take to resolve
• The number of support requests, which should fall after each wave
• The actual switch-off date of the old tool

The checklist before cutover

• Every migrated report has been approved by a business owner
• Every critical indicator has a written, shared definition
• The parallel run has covered at least one full month-end close
• Every remaining discrepancy is explained and accepted
• Champions are trained and users know where to find help
• The switch-off date of the old tool is set