Are there enough Big Data experts in the Indian market?

While opportunities are growing at different levels, talent shortage is definitely a cause of concern in the Big Data market. Over the years, the importance of big data for businesses might have grown, but talent remains the biggest constraint – resulting in a slower adaptation of data by businesses.

According to McKinsey, the US alone faces a shortage of approximately 200,000 people with analytical expertise and 1.5 million managers and analysts with the skills to understand and make decisions based on the analysis of big data. Experts feel that India is equally deficient as far as talent shortage in big data is concerned.

“It’s important to first bridge the existing skills gaps before going ahead with other problems around big data,” says Srinivasan Govindarajulu, senior director and practice head – Enterprise Information Management in a recently organised Techgig.com webinar.

It’s also crucial to highlight the convergence of different big data technologies and disciplines in order to gauge the actual talent requirement. “In today’s world, cloud mobility and social data and analytics are throwing up a lot of big data opportunities. Big data opportunities are basically transforming three things – creating a new data driven culture, understanding customers better and optimising technology investments,” he adds.

Broadly speaking, analysts are classified into three categories – analytical experts (10%), analytical professionals (20%), and analytical amateurs (70%). Analytical experts are responsible for creating algorithms, analytical professionals on the other hand are responsible for using visual tools and develop models, and lastly the amateurs can use spreadsheets.

The highest level of analytical expert faces the biggest challenge in terms of competencies. People, who can actually create algorithms, know what kind of problems exists and the type of solutions that can be provided for the same. However, there’s a dearth of these analytical experts in the Big Data industry, believe experts.

Big data brings new roles such as chief analytics officer, data scientist, big data architect, data visualiser, data steward, statistical modeler, quantitative analyst, machine learning expert, etc. Some of these roles are purely data oriented and there are roles which are used to connect different processes within the business.

Keeping these roles in mind, some of the common big data teams in an organisation are: architects, analysts, DWBI project manager, application specialist, domain experts, technical administrator, etc.

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