Case Studies
IT-Led Business Transformation at Reliance Energy:
Description: The takeover of Bombay Suburban Electric Supply Ltd (BSES) in 2003 (eventually renamed Reliance Energy) marked the foray of Reliance Industries Ltd into the power transmission and distribution business.

Sony Music (India):
Description: "This case study illustrates the principles of disruptive innovation in the context of the music industry in India. Widespread technological changes, including the spread of the Internet and mobile penetration, began to redefine the industry in terms of the way music was created, accessed and consumed.

Microsoft’s Go-To-Market Strategy For Azure In India:
Description: The case is set in mid-2009, about six months before the scheduled worldwide launch of Microsoft Azure. Cloud computing, a paradigm shift in the IT industry, is fundamentally changing the way software and services are delivered to an end user’s desktop. Cloud computing enables shared resources – software, hardware and information to be provided to consumer computers on demand and consumers are charged based on usage. Azure is Microsoft’s offering in this space. Azure provides not only software and infrastructure as a service but also a platform to develop new applications on a pay-per-use model.

Microsoft has always made its products available to users in the traditional license model and Azure would be a paradigm shift not only in terms of technology but also in terms of the business model – from one time license free and periodical maintenance contracts to a pay-as-you-use flexible model. The case focused on whether the nascent (in terms of IT adoption) India market was ready to adopt this new technology and way of doing business.

Data Warehousing as a Strategic Tool at Bharti Airtel:
Description: The case describes the day-to-day operational challenges faced by rapidly growing organizations which strive to use information as a source of competitive advantage. It highlights the various loopholes in the integration of different systems, leading to instances of data inconsistency, which in turn lead to suboptimal business decisions.