Data has always been considered by organizations as an essential part of the IT infrastructure to support their business operations. However, a complete paradigm shift has been witnessed in recent years as data gets increasingly recognized as an asset that could be commercially sold as a service, in and of itself.

Based on the presenter's first-hand experience and expertise, this presentation offers a proven framework for sharing enterprise data using re-usable data services. The presentation will cover how organizations can generate business revenues by providing data as a service to their clients for a fee-based subscription. Some commercial data providers are leading the way in this regard.

Even within traditional organizations, the need for reliable data delivery and distribution mechanism has been widely felt for many years. This presentation proposes “Data as a Service’ (DaaS) as the unifying conceptual framework for providing re-usable Enterprise Data Services. The presentation explains in detail how to acquire data across heterogeneous platforms, enrich the data and then distribute it effectively using industry data standards and governance leveraging new technologies such as data virtualization, cloud, stream computing.

The presentation will also include a conceptual reference model to institute ‘big data as a service’ for potential clients so they can mine customer, social media and online conversations over a virtual.