Why Power BI can match the ERP and still disagree with the ERP report
Quick answer
Power BI can match ERP source data and still disagree with an ERP report if the report uses hidden business logic. In one Infor LN margin issue, the difference was caused by one report using a balance sheet exchange rate while the rest of the logic used the P&L exchange rate.
This was one of those reporting problems where every obvious answer was wrong.
Finance had a margin dashboard in Power BI. The data in Power BI matched the ERP source data. But the margin report being sent to the US still did not match the internal ERP report. The mismatch was not small. It was roughly USD 100k to USD 200k a month, and it had been unresolved for around 12 months.
The business had never been showing the correct profit and loss position with confidence.
The dashboard was not the first thing to blame
It is easy to blame Power BI when a dashboard does not match an ERP report. In this case, Power BI was not inventing anything. It was pulling the same transactional data as the ERP.
The investigation had to go lower: transaction by transaction, value by value, until the difference stopped being abstract and became visible.
The reporting layer was not wrong. The hidden report logic was different.
The real cause was exchange-rate logic
The issue sat inside Infor LN reporting logic. The wider ERP logic was using the P&L exchange rate. One internal ERP report was using the balance sheet exchange rate instead.
That meant Power BI could match the ERP data and still fail to match the ERP report. The two outputs were not measuring the same thing, even though they looked like they should.
Once the problem was isolated, the system was configured to use one exchange-rate logic consistently, and the decision was documented in ServiceNow so the fix did not disappear into someone's memory.
What this teaches finance and reporting teams
When reports disagree, do not start by arguing about the dashboard. Start by proving whether the reports use the same definitions, rates, dates, filters and exclusions.
For finance reporting, that means checking:
- Which exchange rate type is used.
- Which period and cut-off logic is used.
- Whether cancelled, credited or adjusted transactions are included.
- Whether margin is based on standard, actual or adjusted cost.
- Whether Power BI, ERP and finance reports all use the same business definition.
The takeaway
A reporting trust problem is not always a data extraction problem. Sometimes the dashboard is faithfully reporting the source data, while another report is applying different business rules.
That is why reconciliation has to go down to the most granular level possible: transaction, currency, exchange rate, report definition and ownership.
Power BI and ERP reports not matching?
Digital Adaption helps finance and operations teams trace reporting mismatches back to source data, ERP logic and agreed definitions.
View reporting rescue