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TDWI Advanced Analytics Maturity Model Guide Cover

TDWI Advanced Analytics Maturity Model Guide

January 1, 2018

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.

This is an exciting time for advanced analytics. Organizations are collecting increasing amounts of disparate data. They are looking to advanced analytics technologies such as predictive analytics and machine learning to help them gain insight and become more competitive. In fact, TDWI research indicates that a top driver for those already using these techniques is competitive advantage. We often see organizations enhancing their data infrastructure to support advanced analytics. They are appointing chief analytics officers and forming centers of excellence to support the movement to more sophisticated techniques. Vendors are also working hard in this ecosystem to make their tools easier to use, providing intuitive GUIs and intelligence inside the software to help guide even nontechnical users to insight more rapidly using advanced analytics.

Of course, analytics maturity is more than just adoption. Analytics maturity is about the evolution of an organization to integrate, manage, and leverage all relevant internal and external data sources for key decision points. Likewise, advanced analytics maturity is not just about the technology. It also includes the cultural and organizational processes that enable companies to become more data-driven. This includes organizational structures as well as the processes for a wide range of people to manage, govern, and utilize the data and analysis.

The TDWI Advanced Analytics Maturity Model can help you understand where you are in terms of your advanced analytics journey. It provides a framework for companies to understand where they are, where they’ve been, and what they still need to succeed with technologies including predictive analytics and machine learning.

We are excited to offer a maturity model and this guide for advanced analytics, with a focus on predictive analytics and machine learning.

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

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