Big Data’s Biggest Challenges
Big Data’s Biggest Challenges
Few companies take full advantage of all the data that’s made available to them, and most business users spend more time gathering data than analyzing it.
Proper Path
94% of survey respondents said their company is “headed in the right direction” in leveraging big data efficiently.
Simple Sequence
59% said unit leaders can easily access big data and use it to make business decisions quickly.
Additional Allocation
81% said their organization’s investment in big data resources will increase in the next five years.
Metric-Minded
98% said their organization encourages employees to ground business decisions in data and evidence.
Underutilized Asset
Just 23% said employees are using at least three-quarters of available big data to make business decisions.
Waiting Game
37% said it takes at least a day to access big data sources for analysis.
Top Challenges: HR Factor
66% said finding and hiring skilled big data analytics talent is difficult.
Top Challenges: Stalled Support
59% said the value of analytics is understood, but it isn’t quantified or articulated adequately enough to secure buy-in.
Top Challenges: High Maintenance
59% said their legacy data storage systems require too much processing to meet today’s business needs.
Top Challenges: In the Dark
59% said “shadow analytics” leads to data governance problems.
Top Challenges: Time Challenged
59% said business users spend more time gathering data than performing analytics.
Top Challenges: Analytical Oversight
42% said ad hoc analysis is not widely used and valued in their organization.
BMOC
63% said the chief data officer will drive organizational effectiveness and competitive success at large companies.
