Companies Fall Short of Big Data's Potential

Companies Fall Short of Big Data's Potential

Big Failure
41% of global executives say they are either somewhat or completely inadequate at collecting and analyzing big data.

Companies Fall Short of Big Data's Potential

Out of the Loop
48% of these executives say someone other than the CIO drives big data processes.

Companies Fall Short of Big Data's Potential

Holding Firm
47% say they don't expect additional investment to increase their big data capabilities within the next three years.

Companies Fall Short of Big Data's Potential

Knowledge Is Power
45% say more big data would have better enabled them to make their last significant information-driven decision.

Companies Fall Short of Big Data's Potential

Agile Workforce
63% feel that allowing workers to harness big data will help them make better and faster decisions.

Companies Fall Short of Big Data's Potential

Improved Radar
45% feel that big data would help workers better identify business opportunities that weren't previously apparent.

Companies Fall Short of Big Data's Potential

Risk Reward
31% say big data would enable workers to manage risk more effectively.

Companies Fall Short of Big Data's Potential

Why Big data Is Needed
• To better seize market opportunities: 66%
• To improve customer retention: 55%
• To compete more effectively:41%
• To boost financial performance:35%

Companies Fall Short of Big Data's Potential

Most In-Demand Sources of Big Data
• Internal data: 61%
• External Web content: 50%
• Social media: 39%

Companies Fall Short of Big Data's Potential

Roadblocks to Expanding Big Data to Staff
• High costs: 37%
• Not an executive priority: 32%
• Skilled worker shortage: 27%
• Security concerns: 22%
• Tech complexities: 22%