This finance reporting scenario shows why month-end drag is usually a data ownership, definition, reconciliation and spreadsheet-dependency problem before it is a Power BI design problem.
This finance reporting scenario shows why month-end drag is usually a data ownership, definition, reconciliation and spreadsheet-dependency problem before it is a Power BI design problem.
This anonymised scenario reflects a common SME finance problem. Month-end reporting takes too long, the board pack arrives late, the numbers need manual adjustment, and the Power BI or Excel dashboard is blamed even though the root cause sits in source data and ownership.
The business has separate finance, operations and sales data. Reports are built from exports, lookup tables and spreadsheet adjustments. One person knows how the workbook works. Leadership meetings spend too much time debating which number is right instead of deciding what to do.
Month-end drag creates slower decisions, lower confidence in forecasts, finance-team pressure, duplicated effort and poor accountability. The cost is not only the time spent producing reports. It is the management time lost arguing over the same data every month.
The first step is to catalogue the reports, identify source systems, define KPI owners and document where manual adjustments enter the process. The second step is to create a reporting-risk backlog: which reports are critical, which do not reconcile, which spreadsheet steps are fragile, and which definitions need business sign-off.
Only after that should the dashboard be rebuilt. A better Power BI report will not fix unclear ownership, conflicting source data or hidden month-end adjustments. The reporting model should be rebuilt around agreed definitions, controlled refreshes, visible exceptions and reconciliation checks.
Matty Hatton is the founder of Digital Adaption, an ERP and data consultancy based on the Wirral. He has spent 15 years delivering ERP transformations for manufacturers, including leading the data migration on a £4.5m consolidation of four legacy systems onto a single Infor LN cloud instance for a 220-user group. He holds an MSc in Digital Transformation and IT Strategy from Manchester Metropolitan University and is Microsoft PL-200 certified.
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