Tata Realty modernizes enterprise analytics to scale growth with Microsoft Fabric

Facing siloed data, unstructured sources, and disparate analytics tools, Tata Realty was unable to make critical business decisions at a pace to match its growth. This increased its costs, introduced business risk, and blocked key data insights.

Tata Realty chose Fabric for its built-in governance and elastic scale, cutting the complexity and cost associated with producing accurate data insights for better business decisions, while enabling a foundation for advanced analytics and AI.

Tata Realty reduced data processing time by 20%, accelerated reporting, and cut annual analytics costs by 20% to 30%, creating a unified data foundation for faster, more informed business decisions at scale and securing its future AI innovation.

As real estate firms expand across regions and asset classes, they face a variety of business pressures: protect margins, manage capital efficiently, accelerate multi-project execution, meet regulatory and audit requirements, and deliver consistent customer experiences. For organizations operating at scale, fragmented systems and delayed insights can quickly become business risks.

Tata Realty & Infrastructure Ltd., the flagship real estate arm of the Tata Group, knows these pressures well. Responsible for executing the Group’s global growth blueprint, Tata Realty manages a diverse portfolio spanning residential, commercial, mixed-use, and infrastructure developments across Southeast Asia. Its leadership depends on timely, trusted data across finance, operations, engineering, safety, and HR to guide decisions at speed.

Over time, that data became increasingly complex. Critical information lived across structured and unstructured sources, stretching beyond traditional reporting tools. As Tata Realty scaled, executives and frontline teams wanted more early signals around pricing, demand, and operational performance.

“We needed predictive and cognitive analytics that could uncover the right business insights at the right time,” says Sanjay Dutt, Managing Director and CEO of Tata Realty & Infrastructure Limited. “Our teams needed confidence that decisions were based on complete, trusted data.”

A unified analytics platform without added risk

“Fabric allowed us to unify data, scale insights, and modernize our analytics without disruption. It gave us confidence that we could grow our capabilities while maintaining governance and continuity.”

Girish Hadkar, Chief Information and Digital Officer, Tata Realty & Infrastructure Limited

Tata Realty set out to simplify its analytics architecture while aligning with its existing Microsoft investments. It chose to collaborate with Microsoft partner Prosys Infotech Private Limited, drawing on the team’s and its use of Power BI to create standardized dashboards and KPIs. This work helped Tata Realty prepare for the adoption of a future-ready platform that could scale without increasing complexity, cost, or operational risk. Azure and its use of Power BI to create standardized dashboards and KPIs. This work helped Tata Realty prepare for the adoption of a future-ready platform that could scale without increasing complexity, cost, or operational risk.

Microsoft Fabric emerged as the foundation. By consolidating data engineering, warehousing, lakehouse architecture, business intelligence, and AI-readiness into a single platform, Fabric offered Tata Realty a clear path forward. The Fabric accelerator helped the organization upgrade to a solid analytics foundation to a best-in-class data intelligence environment more quickly and with less risk.

“Fabric allowed us to unify data, scale insights, and modernize our analytics without disruption. It gave us confidence that we could grow our capabilities while maintaining governance and continuity,” says Girish Hadkar, Chief Information and Digital Officer at Tata Realty & Infrastructure Limited.

At the core was OneLake, which unified structured and unstructured data into a single environment. This architecture enabled elastic scalability, optimized analytics costs, and extended security and governance controls across analytics and AI workloads—critical for a regulated, asset-intensive business.

Modernizing without disruption

“Fabric has fundamentally changed how we run the business. Our sales, project, finance, CRM, and operations teams now operate with the right data, at the right time—driving faster, more informed decisions when it matters most.”

Sanjay Dutt, Managing Director and CEO, Tata Realty & Infrastructure Limited

Together with Prosys Infotech, Tata Realty adopted a phased rollout approach, incorporating Fabric workloads while maintaining business continuity. Existing workloads validated outcomes early, allowing leaders to control risk without slowing the business.

“The phased approach gave us confidence that we could modernize without disruption. Running Fabric workloads early helped validate results while keeping operations moving,” says Atul Biradar, Project Manager at Prosys Infotech Private Limited. “Our goal was to simplify data, accelerate insights, and deliver a future ready analytics ecosystem for Tata Realty. By unifying analytics, AI/ML, and BI on Fabric, we built a solution that is powering smarter decisions across the enterprise.”

The analytics components of Fabric—including Data Factory and Real-Time Intelligence—enable Tata Realty to seamlessly ingest and transform diverse data sources. Meanwhile, Fabric Data Warehouse architecture powers high-performance querying and enterprise reporting.

The interoperability of Fabric data agents now allows teams to query multiple semantic models simultaneously through a unified interface. To further enhance user experience, Tata Realty implemented Power BI field parameters, adding flexibility to its reporting by allowing users to dynamically toggle dimensions and measures within a single visual.

Finally, Tata Realty used the translytical capabilities in Fabric to enable seamless write-back from Power BI to other business applications. By bridging the gap between analysis and execution, it has eliminated the need for manual data entry across systems, significantly reducing human error and saving valuable operational time. Together, these components create a modern data estate for Tata Realty that supports both operational and analytical workloads on a single, future-ready foundation.

Measurable impact today—and readiness for what’s next

“Our goal was to simplify data, accelerate insights, and deliver a future ready analytics ecosystem for Tata Realty. By unifying analytics, AI/ML, and BI on Fabric, we built a solution that is powering smarter decisions across the enterprise.”

Atul Biradar, Project Manager, Prosys Infotech Private Limited

Today, after consolidating analytics tools and moving to a unified capacity model, Tata Realty has reduced annual analytics costs by 20% to 30% and reduced data processing times by 20%. The sub-second analytics performance of Fabric, AI‑enabled Copilot experiences, and intuitive self‑service BI is saving Tata Realty thousands of manual reporting hours annually.

As Dutt notes, “Fabric has fundamentally changed how we run the business. Our sales, project, finance, CRM, and operations teams now operate with the right data, at the right time—driving faster, more informed decisions when it matters most.”

Beyond operational efficiency, the platform supports Tata Realty’s AI-forward, long-term growth ambitions. Over the next six years, the company aims to expand net operating income and scale its operational footprint three to four times, accelerating concept-to-delivery cycles across commercial, residential, and mixed-use developments. Dutt concludes, “Fabric is the data foundation that prepares us for an AI-driven future.”

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