Must-have skills to make it big in Big Data

Problem solving, communications skills with open mindedness are critical skills for this industry.

The biggest constraint for the Big Data industry today is the fact that there are not enough people who understand Big Data, to work on it, to manage it and get meaningful results out of it.

The industry requirement is a wide variety of roles, some of which are purely data-oriented, some others purely statistics oriented and then there are roles which integrate all these and connect it to business.

To reduce the skill gap, several organisations are collaborating with academic partners to develop curriculum that reflects the mix of technical and problem-solving skills.

So what skills should someone aiming to enter this industry prepare themselves for?

Typically Big Data teams in an organisation can have basically six kinds of roles, viz:

• The architects
• The domain experts
• The subject matter experts
• The analysts, who will be able to bring in the data analysis and statistical analysis kind of experience into the picture
• The technical administrators who know how to manage large sets of data
• The applications specialist

“The thinking process and expectations from each of these roles is different,” says Srikanth Muralidhara, Co-founder Flutura Solutions. “Big Data opportunities are basically transforming three things: one is creating a new culture which enables a data driven culture, where decisions are based on data as well as intuition. Next we are talking about transforming businesses because now we know that we can understand customers better and thereby can design products and services better and the third of course is we optimise technology investments.”

Of these the Data Analyst and the Data Scientist are currently much in demand in India.

Thinking abilities for a Big Data analyst include:

• Ability to look at data and think on the lines of why is this happening?
• What will happen if this trend continues
• What will happen next (which is about predictive modeling)
• Asking the question as to what’s the best that can happen (the optimization aspect)

“So when  we say we are bringing in a big data analyst it should be someone who is comfortable with these kind of questions,’’ says Srinivasan Govindaraj Senior Director and Practice head – Enterprise Information management (EIM).

The abilities necessary for a Data Scientist:

• Needs to know how to predict behaviors and derive the sentiments of customers
• Needs to know how to process unstructured data, and
• How to correlate difference sets of data
• How to identify new patterns in untapped data

In fact according to industry players a good data scientist must take the time to learn:

• What problem needs to be solved?
• How the solution will deliver value?
• How it’ll be used and by whom?

“In short it is problem solving and communications skills with open mindedness,’’ says Muralidhara. “The last skill is particularly significant because a data scientist often applies his or her knowledge to multiple industries, such as banking, health care and retail.’’

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