Delivering Integrity on BI Conversion Accuracy
The question we hear most often from enterprise teams is some version of: What is your fidelity rate, or what percentage of migration do you automate? It’s a fair question that we look to address with our new Power BI Migration Benchmark whitepaper.
Migration fidelity and speed are something we take seriously. We obsess over it with continuous R&D investment and many observations. Workbook complexity is not predictable from the outside. Some workbooks that look straightforward carry hidden surface area. Others that look complex convert with high structural fidelity on the first pass.
An average accuracy percentage strips away the work that actually matters: messy dashboards, business-specific calculations, workbook actions, quick table calculations, parameters, visual formatting, and the last-mile judgment of a senior BI developer.
We decided to release our own benchmark whitepaper because migration teams deserve more than a marketing claim. Most migration benchmarks measure the wrong thing. Percentage conversion scores look precise, but they do not reflect what enterprise teams actually experience when Power BI and Fabric professionals open a migrated dashboard and begin UAT.
Billable hours accumulate against delivery time, not conversion percentages. Our objective function and priority are to reduce the total level of effort to deliver production dashboards.
Three Facts We Monitor
Raw conversion % is what the automation produces: structural fidelity, field mapping, calculation translation, and visual layout on the first pass.
Release readiness is the state of the output after expert optimization. It answers whether the report is publishable: DAX correct, filter behavior validated, visual interactions working, business logic verified. To create such a benchmark requires real data and observation of a final result.
We are fortunate to work with customers and partners who provide feedback loops to help us measure these benchmarks.
Whitepaper benchmark:
Time is the hands-on expert hours required to move from automated output to a release-ready result. For this first release of our benchmark, we took production migration scenarios and shared the result from a Sr. BI engineer and certified Power BI professional completing the migration.
Download the Migration Benchmark whitepaper.
How do you benchmark your own environment?
The best way to get real benchmark numbers is to use BIChart. Getting started takes minutes after signing up and connecting with our team.
If you need a generic fidelity estimate for your environment, you can use our migration assessment. BIChart analyzes your Tableau environment at scale for hundreds or thousands of workbooks.
We run a workbook inventory, complexity scoring, data source dependencies, and utilization stats. The output is a segmented view of your estate, not a generic benchmark applied to your workbook count.
Beyond Power BI Migration Benchmark: Our Commitment
Our engineering focus is on thoughtful, contextual translation of Tableau’s visual grammar into Power BI patterns that preserve analytical intent, not just structure.
Read the Power BI Migration Benchmark Whitepaper
The whitepaper documents three tested workbooks with first-pass output, optimized output, and hands-on expert time for each. It names every manual step: DAX changes, field parameters, visual redesigns, filter behavior, formatting, and action recreation.
If you are planning a Tableau to Power BI migration and want a realistic basis for staffing and wave planning, start with the whitepaper. Then bring your own workbooks.
