RESEARCH & RESOURCES

TDWI Self-Service Analytics Maturity Model Guide

October 27, 2017

Complete the assessment, determine your score, and use the information in this guide for advice and best practices for reaching the next stage of maturity.

Organizations are excited about self-service analytics—to help reduce time to insight, react to changing business conditions, better understand customers, improve operational efficiencies, and more. Most people think of visual analytics—discovering insights using visualizations to explore data from different perspectives—when they think of self-service analytics. However, self-service has evolved to include other aspects of the analytics life cycle, such as preparing data and automating the building of predictive models. Vendors are working on making their tools ever easier to use—providing intuitive graphical interfaces and intelligence inside the software to help guide even nontechnical users to insight more rapidly.

TDWI research indicates that although a majority of organizations have adopted visual analytics for use by BI and other analytics professionals, the technology may not have spread widely within these companies. In other words, the use of self-service by business users is not yet pervasive. However, many seek democratization of analytics because of the advantages it can provide, particularly in lessening time to value and helping those in an organization gain insight.

The TDWI Self-Service Analytics Maturity Model can help guide business and IT professionals on their self-service analytics journey. It provides a framework for companies to understand where they are, where they’ve been, and where they still need to go in their self-service deployments. The model can also provide guidance for companies at the beginning of the process by helping them understand best practices used by companies that are more mature in their deployments.

We are excited to offer a maturity model and this guide for self-service analytics because it is such an important market trend. We trust you’ll find it useful.

Fern Halper, VP and senior director for advanced analytics, TDWI Research

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