Sixty-one percent of IT leaders expect spending on Big Data to increase, while a mere 5 percent expect decreases.
In terms of confidence to satisfy Big Data demands, 59 percent express confidence while 14 percent are unconfident.
Sixty-five percent of IT leaders rank Big Data architects as the most difficult role to fill. Data scientists (48 percent) and data modelers (43 percent) round out the top three most difficult to fill positions.
Positions ranked in the following order, in decreasing difficulty to fill: Big Data developers (40 percent), Big Data analysts (31 percent), Big Data engineers (29 percent), database developers (27 percent) and database administrators (26 percent).
Areas of Impact
Variety, the dimension of Big Data dealing with the different forms of data, hinders organizations from deriving value from Big Data the most, according to 45 percent of IT leaders. Velocity (speed of data) is next at 31 percent, followed by Volume (amount of data) at 24 percent.
The application of Big Data is happening in a number of business areas. Eighty-one percent of leaders view operations and fulfillment as priority areas within the next 12 months. This was followed by customer satisfaction (53 percent), business strategy (52 percent), governance/risk/compliance (51 percent) and sales/marketing (49 percent).
IT leaders cite training/development and realignment of existing staff as their leading approach (42 percent) to address Big Data skills gaps. This was followed by hiring contingent staff (35 percent), hiring full-time staff (29 percent) and outsourcing (20 percent). Surprisingly, 18 percent indicated they had no workforce strategy for addressing Big Data skills gaps.
Overall, 44 percent of IT leaders expect hiring for Big Data positions to increase, 52 percent expect it to stay the same and a mere 4 percent expect it to decrease.