Tata Realty Modernises Enterprise Analytics with Microsoft Fabric, Cuts Data Processing Time by 20%
Tata Realty Modernizes Enterprise Analytics with Microsoft Fabric
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. The deployment, detailed in a March 6, 2026 customer story from Microsoft, saw Tata Realty move enterprise analytics onto Microsoft Fabric while preparing its real estate operations for AI-driven decision-making.
The Challenge: Data Fragmentation at Scale
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. As a 100 per cent subsidiary of Tata Sons, serving as a real estate and infrastructure development arm of the group, the company manages operations across multiple project categories—residential, commercial, and mixed-use developments. That portfolio complexity, combined with operations spanning regions and asset classes, made unified analytics essential.
Platform Architecture and Implementation
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. The deployment centered on 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.
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. Atul Biradar, Project Manager at Prosys Infotech Private Limited, noted that running Fabric workloads early helped validate results while keeping operations moving.
Real-Time Intelligence and Reporting
Real-Time Intelligence enables Tata Realty to seamlessly ingest and transform diverse data sources. Meanwhile, Fabric Data Warehouse architecture powers high-performance querying and enterprise reporting. The shift from traditional batch reporting to real-time visibility addresses a fundamental operational challenge in asset-heavy businesses: decisions constrained by outdated data cannot respond to market conditions or execution delays as they emerge.
Girish Hadkar, Chief Information and Digital Officer at Tata Realty & Infrastructure Limited, said: "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."
Context: Digital Strategy and Operations
Tata Realty has long positioned technology as core to its growth. The company demonstrated how an ambitious pre-Covid digital strategy and agile adaption to the new normal put it on the path to concrete gains. More recently, the company has been moving toward digital projects, using technology in delivering projects, which includes a shift in how projects are designed, constructed, operated, and decommissioned. The analytics modernization announced today complements that infrastructure strategy, standardizing how data flows across finance, operations, engineering, and commercial teams.
Scale of Operations
Tata Realty has an operational portfolio of 0.70 mn sqm (7.6 mn sft) and 1.55 mn sqm (16.7 mn sft) of commercial assets under planning and development. The company has also developed and handed over 0.87 mn sqm (9.4 mn sft) of commercial assets. Managing that asset base and pipeline—across multiple cities, project stages, and property types—requires reliable data integration and rapid insight delivery.