Agreed measures
A semantic model (the shared calculations behind your reports) with agreed definitions, relationships, and access rules.
Business intelligence and decision systems
We build Power BI and other business intelligence reports on agreed calculations, so your team can trace each figure back to its source records.
ScopeA single pipeline, report, or model, up to a set of connected sources
Delivery timingWeeks for a well-defined first release when data access and definitions are agreed
How we check itBefore a report is accepted, we reconcile its figures to source records and test what each role can see.
Reports people can reconcile and act on
A dashboard is only useful if people agree on its numbers. We settle the calculations with your team before building charts. Each change in the numbers links to the records behind it, the exceptions, and the person responsible for follow-up.
Good fit
- Finance and operations teams that run recurring performance reviews
- Multi-location businesses comparing sites on the same measures
- Leaders who want reliable measures in place before adding AI
Not the right fit
- Dashboards no one will use to make a decision
- Written commentary on numbers no one has checked
- Replacing a review process that works before understanding why it works
What you get
Reports for decisions
Dashboards and review screens that show what changed, what needs attention, and the detail behind each figure.
Reporting operations
Refresh and reconciliation checks, a controlled way to release report changes, and a named owner for each definition.
How it works
Review the decisions
We ask leaders and operators which questions they need the reports to answer, and how often.
Resolve the numbers
We trace key figures to source records and work with your business owners to settle competing definitions.
Build and check the reports
We build the reports, check them with the people who use them, and link each exception to a follow-up action.
Scope, cost, and ownership
What we need from you
- Source data and examples of current reporting
- Business owners who can approve measures and access
What affects cost
- Number of measures and figures that do not reconcile
- Complexity of the data model and access rules
- Number of reports, refresh frequency, and distribution
Technical scope
- Power BI
- Semantic models (the shared layer of calculations)
- Metric definitions
- Exception analysis
- Data visualization
- Written commentary beside the figures
Support and maintenance
Your business team approves the calculations. The maintenance agreement names who fixes refresh failures, updates the data model, and reviews access.
Common questions
Do you replace our dashboards?
Not necessarily. If the problem is in the data model or calculations, we repair those and keep the reports your team already uses.
Where does AI help?
In explaining changes and ranking exceptions, once the measures and sources have been checked. It can gather supporting detail and draft an explanation for a reviewer.
What if two reports show different numbers for the same measure?
We trace both figures to their source records and calculations to find where they diverge. Your business owners then agree on one definition, and we build it into the shared data model so every report built on that model shows the same number.