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Vast majority organizations have low BI, analytics maturity

Vast majority organizations have low BI, analytics maturity

Source: ThinkStock

More than 87 percent of organizations are classified as having low business intelligence (BI) and analytics maturity, according to a survey by Gartner, Inc. This creates a big obstacle for organizations wanting to increase the value of their data assets and exploit emerging analytics technologies such as machine learning.

Organizations with low maturity fall into “basic” or “opportunistic” levels on Gartner’s IT Score for Data and Analytics. Organizations at the basic level have BI capabilities that are largely spreadsheet-based analyses and personal data extracts. Those at the opportunistic level find that individual business units pursue their own data and analytics initiatives as stand-alone projects, lacking leadership and central guidance.

“Low BI maturity severely constrains analytics leaders who are attempting to modernize BI,” says Melody Chien, senior director analyst at Gartner. “It also negatively affects every part of the analytics workflow. As a result, analytics leaders can struggle to accelerate and expand the use of modern BI capabilities and new technologies.”

According to Chien, organizations with low maturity exhibit specific characteristics that slow down the spread of BI capabilities. These include primitive or aging IT infrastructure, limited collaboration between IT and business users, data rarely linked to a clearly improved business outcome, BI functionality mainly based on reporting, and bottlenecks caused by the central IT team handling content authoring and data model preparation.

Gartner offers four steps that data and analytics leaders can follow in the areas of strategy, people, governance and technology to evolve their organizations’ capabilities for greater business impact:

  1. Develop holistic data and analytics strategies with a clear vision.
  2. Create a flexible organizational structure, exploit analytics resources and implement ongoing analytics training.
  3. Implement a data governance program.
  4. Create integrated analytics platforms that can support a broad range of uses.

The survey results are based on 813 responses collected from Gartner’s ITScore for Data and Analytics from October 2017 through June 2018.

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