Stages of Analytics Maturity



“Investing in Analytics needs to go beyond technology”

Organizations today face an increasingly challenging business environment. Across industries, new companies and nimble competitors are taking advantage of analytics and leveraging the full potential of the internet, disrupting traditional business models and markets. 

Cloud computing and open source have caused fundamental changes in analytics infrastructure, allowing the introduction of new technologies such as artificial intelligence and machine learning. The most nimble, innovative companies have quickly taken advantage of these new technologies — and the analytics they enable — to gain a competitive advantage.

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DELTA Plus Model and Five Stages of Analytics Maturity: A Primer

The purpose of this research brief is to summarize the key elements of DELTA Plus and five stages of analytics maturity, and discuss how these two frameworks can be used to understand analytical maturity in your organization.

Traditional companies are struggling to deal with all this complexity and compete on analytics. Though many top executives realize that high-quality data and analytics are critical to the future success of their companies, up to 70 percent of analytics initiatives and projects fail to meet their objectives.

Why is the transformation so difficult? Competing on analytics requires fundamental changes across the entire organization. Companies must create a data driven culture, leaders need to develop new skills, legacy processes need to be changed and organizational inertia must be overcome.  In addition, leaders lack the metrics and insights to drive transformation.


AMA Solutions Brief

Improving analytics maturity is difficult.  Discover the barriers that organizations face and the seven essential capabilities for driving transformation through analytics.

Ranking Analytics Maturity by Industry

This report provides an overview of our research into the analytics maturity of 50 industry-leading companies across 12 industry segments, seeking out differences in enterprise analytics capability.