Big Data comprises of 3-V factors; namely Volume, Velocity and Variety. However, considering well understood benefits reaped on adopting Big Data in enterprises, one could be tempted to club another -V (Value) to the existing troika. Mckinsey Global Institute Big data study says that 'The total amount of data created and replicated in 2009 was 800 exabytes -- enough to fill a stack of DVDs reaching to the moon and back' (source: Mckinsey global institute. Big Data: The next frontier for innovation, competition, and productivity. May 2011). Though Big Data adoption is well established in industry segments like Retail, Financial and Insurance, and Manufacturing etc, there is still a need to continuously innovate and implement factors that guarantee success and enable rising returns. The primary challenge in Big Data implementation is the need to handle high voluminous data (that exist in multiple storage sources and multiple data formats ) at the speed it is received and processing to generate intelligent business insights. This leads to an even more complex problem to solve - that of management aspects, where the enterprise structure and processes will need to change in response to findings from Big Data analysis to enable the enterprise to evolve and reap business benefits.