About Us
DataNova Labs was founded to solve a common problem faced by modern organisations: fragmented reporting systems, disconnected data sources, and manual reporting processes that slow down decision making.
Our platform brings together Microsoft Fabric, Azure, and Power BI to deliver a unified analytics environment designed for finance, operations, and leadership teams.
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Make business data useful in everyday work. Bring the sources together, capture the definitions that matter and give teams practical tools to analyse performance, plan ahead and act.
During years of working with finance and data teams, we repeatedly encountered the same challenges:
DataNova was created to address these challenges by delivering a platform first approach to analytics, rather than traditional consultancy led reporting projects.
Our goal is simple: provide organisations with a reliable analytics foundation that scales as their data grows.
Reporting processes built around spreadsheets
DataNova is designed around the Microsoft ecosystem, leveraging modern cloud data architecture to deliver scalable analytics capabilities.
Key technologies include:
Capabilities include:
Natural language queries against enterprise datasets
AI-assisted visual generation from semantic models
Organisations typically engage with DataNova in one of three ways:
Platform Access
Use DataNova for reporting, AI analysis, visual creation and DataApps. Start with your spreadsheets and add prepared connections or applications as your needs grow.
Managed BI Services
Combine the platform with ongoing help for your data pipelines, reporting and analytics. Agree the included plan, deliverables and support scope.
The future of analytics lies in unified platforms where data engineering, reporting, and AI powered insights operate together.
DataNova is built around this principle, combining Microsoft Fabric's modern data architecture with AI driven analytics capabilities to help organisations move beyond traditional reporting and into intelligent decision support.
Whether you need your first report, a connected forecast or a tailored application, start with a conversation about your data and the outcome you need.
His experience spans greenfield analytics implementations as well as transforming existing reporting suites, helping organisations move from fragmented, spreadsheet driven processes to structured data platforms built on technologies such as Power BI, Dynamics 365, Azure, and SQL based data architectures.
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Having delivered large scale analytics transformations for organisations including TalkTalk, Landsec and BMW, Bhapinder has seen firsthand how difficult it can be for businesses to extract real value from their data. That experience led him to co-found the platform with a mission to simplify analytics, modernise reporting, and make powerful data insights accessible to every organisation.
Data spread across multiple systems
BI tools implemented without proper data architecture and maintenance
Slow and manual consolidation cycles
Internal BI teams struggling to scale
Automated insight detection within financial and operational data
Intelligent report building using Power BI semantic models
Conversational analytics through the DataNova AI assistant
Nova AI Analyst and Nova AI Visual Builder bring conversational analysis and visual creation into DataNova. MCP connects the analyst to governed semantic models so questions can use your configured measures, relationships and KPI definitions. This provides business context, while people remain responsible for checking the answers.
Enterprise Data Architecture
Work with DataNova to design scalable analytics infrastructure using Microsoft Fabric.
