Nova AI Analyst helps you investigate performance using your business definitions. Nova AI Visual Builder turns your prompts into visuals you can review and refine. Both work within DataNova, alongside your reports and applications.
Use the conversational analyst to explore your business data in plain English. Ask what changed, compare results and follow up. Review the underlying figures before acting on an AI answer.
Watch the AI analyst answer real questionsThe standard platform includes AI analysis and visual creation. Scheduled briefings and application-specific workflows are agreed around your requirements.
Choose how you want to work with your data. Start with questions and charts, then prepare briefings around your team's decisions.
Ask what changed, explore the numbers and follow up in plain English.
Ask your dataAvailable after signupDescribe a comparison, create a chart and refine the view for your audience.
Create a visualPrepared with your teamReceive a focused data briefing with a route back to the supporting detail.
Receive a briefingRevenue, margin and an active customer can mean different things in different businesses. We bring your sources together and prepare the rules, relationships and KPI definitions that reporting and Nova AI Analyst need.
Land data in the Fabric lakehouse while retaining its source context.
Standardise fields, align identifiers and prepare consistent relationships across systems.
Shape curated data around your organisation, with agreed definitions for the measures people use.
Use the agreed definitions in reports and apps. Nova AI Analyst connects through MCP to your governed semantic models for business context.
Posted invoices or orders? Before or after credits? Which entities, currencies and accounting periods? We agree the definition so your reporting and AI questions use the right basis.
AI Capabilities include:
Natural Language Querying
Ask questions like "What was net revenue vs last year?" and receive answers aligned with your defined business logic.
Narrative Summaries
Automatically generate plain-English explanations of trends, variances, and performance drivers.
DataNova’s AI Assistant is MCP-powered and operates exclusively on your governed semantic model - not raw files, tables, or unstructured data.
Grounded in your definitions
Explainable
Business-aware
Review before you decide
Grounded in your business rules
Connected to your governed semantic model
Reviewable answers, with human judgement
Access through your configured permissions
Ask questions. Check the evidence.
Use the Business AI Pilot Scorecard to agree KPI definitions, source evidence, access tests and human review with your team.
Open the free AI pilot scorecardThis Bronze, Silver and Gold approach is called medallion architecture. A Gold layer alone does not teach an AI your business. The definitions, relationships and analyst context must also be configured and checked. Source integration and business modelling are scoped with you.
Trend & Variance Analysis
Identify patterns, anomalies, and changes over time using your governed KPIs.
Nova AI Visual Builder
Describe the comparison you want to see. Create a visual from your available data, then check the measures, filters and result before sharing it.
