The technology that we use for our day to day operations, including the applications in our mobile phones, smart fridges and solar powered roof tops, are something to feel wondered about. It is not simply the internet of things that are connecting us all but the magical wonder of the Big data technology. if the experts are to be believed, then human civilization is still at the doorstep of Big Data and this presses further for the need of big data consulting. For instance, Forbes predicts that within 3 years, by 2020 each individual on the planet would be generating 1.7 megabytes of information every second. this would further trigger the populace to record 40,000 search queries every second. moreover, with an explosion of digitization, there’d be 300 hours of videos uploaded to Youtube every minute.

Aspirants who have the entrepreneurial pest in their head should need no further signalling of how and when to start their big data consulting ventures.

The part that astonished the majority of the population who is looking up in gaze, trying to understand the phenomenon, is that Moore’s Law, predicted almost a century back, what we are having to experience tonight. The rule of what kind of a computer would a $1000 buy over a period of time. The law is proving itself reliable as by 2025 humans would have built a computer that could perhaps be bought with $1000, having the processing power of a human being.

One question that arises from all the hell which is breaking loose is, what are we going to do with such a tsunami of Big Data. Mckinsey steps forward to help by answering the sub-set of that question, “what kind of data do we have?”. As far as the present is concerned, we humans are only able to capture:

  • 50%-60% of the location based data.
  • 10-20% related to our own health.
  • 20-30% data from the manufacturing industry.
  • & 10-20% of the data from the public sector.

A big data consulting establishment would be able to shortlist exactly the manner in which first, the captured information could be utilized and second, on what scale should the tools of this technology should be deployed for a business to be able to draw actionable insights. 

Picture this, what were you like as a child when you were handed your first computer? Silly, just gaming without knowing that the machine had other uses as well! Similar is the case with Enterprises today. If they could afford some apparatus that would enable big data applications to run, then they wouldn’t fully understand the consequences of it. It is out this need that so many of the software and IT services companies are introducing and shifting roles towards the adoption and operation of architectures based on new technologies.