How Businesses Benefit From Self-Service Analytics

How Business Benefits From Self-Service Analytics

How Business Benefits From Self-Service AnalyticsHow Business Benefits From Self-Service Analytics

Through 2020, spending on self-service data tools will grow 2.5 times faster than spending on traditional data tools.

Wide DeploymentWide Deployment

60% of survey respondents use some form of data analytics to generate business decision-making insights, and more than four of five expect these tools to be “extremely” important to them in the next two years.

Unfamiliar ConceptUnfamiliar Concept

Just 15% say they’re “extremely aware” of self-service data analytics.

Departmental DependencyDepartmental Dependency

62% said they typically rely on others, such as IT or a data analytics group within their organization, for decision-making analytics.

Underwhelming EffortUnderwhelming Effort

Only 19% are “very” or “extremely” satisfied with the their IT department/analytics group’s ability to compile information from inside or outside their organization, and the same percentage feel the same way about how quickly they can get this information. Meanwhile, just three of 10 are very or extremely satisfied with the quality of work on the part of the IT department/data analytics group.

Make-Do Deliverables, Part IMake-Do Deliverables, Part I

79% said ease-of-use in their analytics tools is either “very” or “extremely” important in their decision-making, but only 35% said their current solutions are “very good” or “excellent” at this.

Make-Do Deliverables, Part IIMake-Do Deliverables, Part II

75% said the speed of their tools is very or extremely important in their decision-making, but just 32% said their current products are very good or excellent at this.

Tool Time: Spread ThinTool Time: Spread Thin

84% said they’re using spreadsheets to analyze data, but only 34% said they’re “highly” satisfied in using spreadsheets.

Tool Time: Negative PerspectiveTool Time: Negative Perspective

57% said they’re deploying data visualization products for analytics, but just 37% said they’re highly satisfied with these products.

Tool Time: Integration IssueTool Time: Integration Issue

42% said they take advantage of data integration technology, but only 25% said they’re highly satisfied with the outcomes so far.

Tool Time: Improper BlendTool Time: Improper Blend

39% said they’re using data prep/blending solutions, but only 29% are highly satisfied with these products.

Dennis McCafferty
Dennis McCafferty is a contributor to CIO Insight. He covers topics such as IT leadership, IT strategy, collaboration, and IT for businesses.

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