Genpact leverages Microsoft Fabric for AI-driven data transformation

Genpact, a global advanced technology services and solutions company, partners with leading organizations worldwide, including many from the Fortune Global 500, to transform their biggest challenges into opportunities for resilience and growth.

With over 125,000 employees and operations spanning 30-plus countries, Genpact leverages its expertise in advanced technology to design, build, and transform businesses, creating lasting competitive advantages for its clients.

The need for a unified data platform

Over time, Genpact's business units developed a range of dashboards connected to different data sources. While these applications served their initial purposes effectively, as the business evolved, the need for integrated solutions became greater. Although Genpact had a central data warehouse, it lacked up-to-date AI capabilities. This presented an opportunity to enhance integrations between disparate applications, to enable a unified view of enterprise data and unlock the full potential of real-time insights and advanced analytics.

Genpact recognized an opportunity to enhance its data infrastructure to fully leverage emerging technologies like AI and Generative AI. By modernizing its data warehouse, Genpact aimed to drive innovation, accelerate digital transformation, and strengthen market competitiveness, ensuring a future-ready foundation for advanced AI capabilities.

Transitioning to Microsoft Fabric

Genpact began evaluating data solutions to support its evolving business needs. After a thorough review, Microsoft Fabric, the unified AI-powered data platform emerged as the ideal choice. Its comprehensive features for data storage, seamless integration with emerging technologies, and compatibility with Genpact’s existing Microsoft landscape made it the right fit.

Active support from Microsoft throughout the implementation process further cemented the decision. As Rajendra Rao, Head of Enterprise Data Office at Genpact, explains, "To truly scale and accelerate our internal transformation, we needed a unified, future-ready data platform. Microsoft Fabric provided the single source of truth we required to drive innovation and operational excellence. Starting with human resources, we have scaled its implementation across the organization."

The phased rollout began with HR processes, gradually expanding to functions like finance and sales. Today, Microsoft Fabric is fully operational at Genpact, delivering measurable improvements in data accessibility and analytics.

Harnessing agility and insights with Microsoft Fabric

Genpact has achieved significant benefits from the implementation of the Microsoft Fabric solution.

Unified data and AI integration

By adopting Azure Fabric OneLake as its enterprise storage, Genpact now supports Azure OpenAI use cases. With streamlined data architecture, the company has built products for HR and finance that rely on natural language queries, simplifying decision-making and reducing dependency on multiple reports.

Enhanced HR operations

The migration of HR applications such as compensation and benefits, human resources shared services, talent and competency review, rewards recognition, and learning and development to the Fabric data warehouse has centralized critical metrics related to attrition, headcount, and reskilling. These insights are now accessible via unified dashboards, enabling accurate reporting and cost optimization.

“Microsoft Fabric has been a game-changer. No more digging through various reports or spreadsheets—everything is now at our fingertips. It has made decision-making faster, easier and more data driven with real-time insights. It is also the perfect platform to roll out AI-powered insight bots, supporting our vision of becoming an AI-first company,” says Indira Sovakar, VP, Human Resources, Genpact.

Accelerated innovation Fabric’s AI-powered capabilities allow Genpact to leverage machine learning and big data to unlock innovation and accelerate digital transformation across departments.

Rapid deployment

Genpact successfully deployed the initial use cases in the finance function within six months, followed by the quick deployment of HR use cases within three months.

Data governance and compliance

Built-in governance tools enable compliance with industry regulations, safeguarding data integrity and security throughout the platform.

Driving operational excellence across functions

This unified data approach isn’t just transforming HR. It is equipping Genpact’s finance teams to streamline processes and achieve unparalleled data accuracy. By leveraging natural language queries powered by Fabric, the organization is unlocking greater efficiency and transparency, paving the way for more informed decision-making across departments.

As Manish Goenka, Vice President, Finance, Genpact, notes, “The Chat with Data solution, built on top of Microsoft Fabric, empowers business teams with rapid, multi-dimensional data insights, offering a seamless, one-stop platform to leverage insights for enhanced decision making. Its features enable swift access to critical information, enabling smarter and faster decisions.” To date, Genpact has migrated approximately 15 terabytes of data, connecting 300 Power BI reports to Microsoft Fabric and engaging over 1,000 active users.

The road ahead

Genpact plans to archive data from various applications into Microsoft Data Lake, creating a scalable and centralized storage system for future needs. Through its “client zero” initiative, Genpact is now refining its use of Microsoft Fabric internally before extending the solution to its clients, creating a robust and validated offering.

As Vidya Rao, CIO, Genpact, shares, “Microsoft Fabric has been a game changer for Genpact Enterprise functions by accelerating creation of a single source of good quality Enterprise data and enabling natural language-driven access and generation of AI and ML based actionable insights.”

By embracing Microsoft Fabric, Genpact has created a unified platform, unlocking new levels of scalability, efficiency, and innovation.