PUNE

OPPORTUNITIES
Technology research and advisory rm Gartner predicts business intelligence and analytics will remain top focus for CIOs through 2017.
Some of its other predictions are:
• By 2015, the majority of BI (business intelligence) vendors will make Data Discovery their prime BI pla orm offering,
shi ing BI emphasis from repor ng­centric to analysis­centric
• By 2017, more than 50% of analy cs implementa ons will make use of event data streams, generated from instrumented
machines, applica ons and/or individuals
• By 2017, analy cs applica ons offered by so ware vendors will be indis nguishable from analy cs applica ons offered
by service providers
• Un l 2016, big data confusion will constrain spending on BI and analy cs so ware to single­digit growth
Ernst & Young s report titled Big Data and Enterprise Mobility: Growing relevance of emerging technology themes: the India perspective,
talks about the implications of its survey results on Indian companies:
• Enterprise wide Big Data adop on ac vity is likely to remain muted for the next two years as most organiza ons are yet
to start with ac ve pilots
• IT vendors are s ll relevant, as high level of outsourcing is expected by organiza ons to bridge the skill­gap. Vendors
should start looking at India as a focused market
• Big Data related cer fica ons and training are likely to become important. Opportuni es exist for companies in educa on
sector that can design content and impart training to benefit from the demand­supply capability mismatch
• Vendors can play a meaningful role in driving adop on by conduc ng workshops, providing ROI calculators, crea ng
analy cs lab to demonstrate use­cases that has India relevance. Integrated appliances or solu on selling will remain
extremely important for vendors
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The Ernst & Young report men oned above suggests that companies:
Create a ‘data­centric’ culture:
The biggest challenge for companies is to build a ‘data­driven’ culture as many companies rely more on their ‘intui on’ than on
data mining for decision­making.
Invest in building skill­sets:
Organisa ons planning to implement Big Data solu ons, will face talent shortage in terms of specialized skill sets such as data
scien sts or data engineers in the near term. While total availability of IT talent in India is high, NASSCOM es mates suggest
that only 3%–5% of this comprises of people with requisite skills for Big Data. With skilled resources high in demand and
expensive, organisa ons should re­look at their Big Data strategy to mi gate risks associated with the demand­supply talent
gap.
Measure performance to jus fy investments:
Value and return on investment are cri cal to make the right strategic decisions. Like for any IT investment, Big Data ini a ves
should be measured and the returns need to be demonstrable.
chejad@gmail.com
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