Lack of IT Resources Hinders Data Analytics

Lack of IT Resources Hinders Data Analytics

83% of respondents say analytics is critical to their organizations, driving day-to-day decisions now more than past experiences, intuition and other factors.

Lack of skills, training and education: 19%, Lack of funding or resources: 18%, Inadequate executive support: 10%

Two-thirds of survey participants say their organization don’t employ enough people with adequate skillsets to analyze and glean insight from data.

Statistics, math and quantitative capabilities: 48%, Analytics tool training: 40%, Critical thinking: 28%

36% of survey respondents say business and IT both have analytic resources and they function independently, as opposed to 26% who say both have these tools and work collaboratively.

Data analytics professionals spend only one-fifth of their time on data analysis.

Gathering requirements: 13%, Preparing and presenting reports: 10%, Meetings: 9%, Administrative activities: 7%, Infrastructure design and implementation: 5%, Testing and tuning processes: 4%

38% of survey respondents say insufficient self-service tools and reports prevents their access to data, and the same percentage say that IT data-governance policies do the same.

35% say IT doesn’t even have the data in the data warehouse.

13% say their organization needs to have a better, increased awareness of the opportunities within analytics and big data.