Power BI consulting: semantic models, DAX and refreshes that finish on time.

Usually because the model imports more than it reads, or does work at refresh time that belongs in the warehouse. The common causes are calculated columns over large fact tables, high-cardinality columns such as timestamps or free text, Power Query steps that stop folding so a whole table is pulled before it is filtered, and a full refresh where an incremental policy would do. We profile the model with DAX Studio and the refresh history first, then change the few things that account for most of the time.

It is the dataset layer between your warehouse and your reports: tables, relationships, measures, hierarchies and security roles. When it exists as one governed model, every report calculates revenue the same way and analysts can build their own views without writing joins. When each report carries its own copy of the data and its own measures, the numbers drift apart.

Usually, and that is the cheaper place to start. The review covers grain, relationships, calculated columns, duplicated measures, storage mode and refresh behaviour, and ends in a written list of what to fix in place and what genuinely needs remodelling. A rebuild is something we have to justify, not a starting assumption.

Yes. The first step is documenting what the tabular model contains and which reports depend on each table and measure, because that decides whether it can move largely as-is through the XMLA endpoint or should be remodelled. Measures are compared old against new on identical filters before any report is repointed, and both models run in parallel until the figures are signed off.

We quote after a scoping call. The estimate depends on the number of reports and sources, the state of the existing model, whether an Analysis Services migration is involved and how much reconciliation the business needs to see. A review of one existing model is a bounded piece of work and is usually the cheapest way to find out what the rest would involve.

Yes. MV.tech works from India Standard Time and agrees an overlap window with your team before the engagement begins, with access through your own tenant, workspaces and gateway rather than through copies of your data. Changes go through deployment pipelines or version-controlled model files, so your team can see what changed and when.

By reconciling them to source and keeping the check running. Record counts, control totals and date coverage per table, plus the handful of figures people actually act on, are compared against the source system on every refresh. Differences are investigated and either fixed or written down as a deliberate change, which sometimes means the old report was the one that was wrong.