Augmented analytics uses artificial intelligence (AI) and machine learning (ML) to make business intelligence (BI) and analytics tools easier to use and generate insights not possible with earlier generations of products. However, this doesn't mean all business users will universally adopt the new features. Analytics leaders need to understand the target audience for these features before rolling them out broadly.

This webinar explains what augmented analytics is and shows how data and analytics leaders can increase adoption of these new 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 features a case study of Roche, an SAP customer that successfully implemented SAP Analytics Cloud to support predictive planning.

Key Takeaways:

• Understand the range of augmented analytics, from natural language search and assisted insights to predictive planning.
• Drive adoption of augmented analytics by knowing the target audience and the features best suited to it.
• Learn the major objections business people have to BI and analytics tools in general and augmented analytics features more specifically.
• Leverage the Analytics Adoption Framework to identify potential objections to new technology rollouts.
• Listen to one company’s implementation of predictive planning using SAP Analytics Cloud.

Sponsor: SAP

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