BI in the AI era
Will AI and Copilot replace BI teams?
AI is making reports faster to build, but it does not make the numbers right. Copilot answers from whatever models and definitions it is given, so governed KPIs, reconciled finance measures and well-described semantic models matter more, not less. Data Semantics uses AI to build faster and spends expert time on the definitions and checks that make answers trustworthy.
Is our Power BI ready for Copilot?
Usually not yet. Copilot needs clean semantic models with clear names, descriptions, synonyms and one agreed definition per measure. The Data Semantics BI Health Check tests Copilot readiness and lists the fixes, and our teams add the descriptions and business terms so plain-language questions return the right answer.
Why does Copilot give a different number from finance?
Because it is reading a different model or definition from the one finance uses, such as revenue before returns, or a report with its own formula. Data Semantics fixes this by agreeing one governed definition per KPI, reconciling finance measures to authoritative financial sources and pointing Copilot at the same models as the board pack.
Trusted performance
How do you make sure the numbers match finance?
Finance measures are reconciled to authoritative financial sources, such as the general ledger or consolidation system, before a report goes live and on every refresh. Operational metrics are validated against their own source systems. Data Semantics documents each definition so finance can see exactly how every figure is calculated.
Can you consolidate reporting across entities and currencies?
Yes. Data Semantics builds group reporting across legal entities, currencies and ERPs, with intercompany eliminations, currency translation and consistent charts of accounts, so leadership sees one consolidated view that ties back to each entity.
Do you have ready-made KPIs for our industry?
Yes. Data Semantics starts from its KPI library, consolidated from fourteen years of client work: KPI definitions, calculation logic and source mappings for real estate, retail, FMCG, hospitality, banking and finance, and for systems such as SAP, Oracle, Dynamics 365, Salesforce and Yardi. Each one is then adapted to your business.
Reports for every audience
Do you build embedded or HTML-based reporting?
Yes. Data Semantics embeds reporting inside customer portals, partner apps and internal systems using Power BI Embedded, or builds custom HTML reporting where full design control is needed, with row-level security per customer and the same governed KPIs as internal reporting.
Power BI and your BI estate
How do you rationalize thousands of reports?
Data Semantics analyzes usage, duplication and conflicting definitions across the whole estate, agrees with report owners what to keep, merge or retire, and rebuilds what matters on shared models. At a bank this took the estate from 10,000 reports to 2,300, and at another enterprise from 3,000 to 800.
Can you migrate our reports from Tableau, Cognos or Business Objects?
Yes. Data Semantics analyze usage first so only reports people actually use are rebuilt, move them onto governed Power BI semantic models and compare old and new outputs before users switch over.
Working with us
How is a BI engagement priced?
It starts with the fixed-price BI Health Check, a review of your reporting estate for business value and technical health: report usage and duplication, conflicting KPI definitions, model quality, performance and capacity cost, and Copilot readiness, ending in a prioritized plan of what to keep, fix, merge or retire. Build work is delivered as a fixed-price project or on time and materials, depending on how defined the scope is, and ongoing BI runs as a monthly managed service.