This report shows how data and analytics leaders can increase adoption of augmented analytics capabilities. It presents an Analytics Adoption Framework that describes the major factors that contribute to widespread adoption of BI and analytics tools and features. It applies those factors to the implementation of augmented analytics, providing a guide for adoption.

Key Takeaways:

• Before rolling out any BI or analytics tool or feature, understand the target audience for those specific capabilities.
• Understand the major objections business people have to BI and analytics tools in general and augmented analytics features more specifically.
• The Analytics Adoption Framework provides a handy guide for ensuring business users will adopt a new technology
• Make sure new tools and features are well-suited to the people who are authorized to use them.
• Make plans to ensure adequate training, coaching, and workflows to ensure people have the support they need to use augmented analytics and other features effectively.

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