Evolve Self-Service Analytics for the Era of Generative AI

Generative AI is making data and analytics tools more accessible in organizations. Data democratization and self-service mean more people across the business can use data to make decisions. Still, it’s up to analytics leaders to ensure that the AI-supported insights are correct, clear, and easy to understand for everyone.

From Gartner research, Evolve Self-Service Analytics for the Era of Generative AI is a comprehensive report to building a self-service analytics program.

To derive value from self-service analytics and manage these initiatives better in the era of generative AI, leaders responsible for ABI and data science and machine learning (DSML) solutions should:

• Adopt a delegated approach to management and control by implementing an analytics franchise model that ensures decentralized empowerment and governed consistency during creation of analytics content.
• Reduce cultural barriers and promote collaboration by establishing analytics communities that relay best practices on D&A usage, deliver data literacy workshops and share D&A success stories.
• Ensure trust and quality in self-service analytics by implementing a prototype-first approach that allows content to traverse through different stages before productionization. Also, catalog these assets to identify the most valuable and certified content for better decision making.

Download the report and build self-service analytics for the era of generative AI.

^{Gartner, Inc. Evolve Self-Service Analytics for the Era of Generative AI. Anirudh Ganeshan, Carlie Idoine, 6 July 2023.}

^{GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.}