As organizations recognize the importance of data-driven decision-making, the pace of business can prevent analytics success. An ever-increasing volume of distributed data available to the business can overwhelm stakeholders, and as organizations struggle to gain a comprehensive picture of their data, yet another layer of complexity presents itself: the rate of change.

To address these challenges, organizations are turning to AI tools that eliminate manual processes to improve efficiency, promote productivity, and democratize analytics. Whether through augmented analytics or generative AI (GenAI), stakeholders can be empowered to quickly and easily access, analyze, explore, and visualize data in a collaborative way.

Download this new ESG research report to learn what is top of mind for IT professionals responsible for business intelligence, including:

• Benefits organizations seek and realize from infusing AI into analytics and business intelligence (BI)
• Challenges associated with launching analytics and BI modernization initiatives
• Understand how organizations are hoping to leverage AI within their analytics and BI platforms, including augmented analytics and generative AI
• Determine the stakeholders involved with the selection of analytics and BI platforms as well as the spending and usage intentions for these technologies

93% of organizations indicate that integrating AI and ML into analytics and BI has grown end-user adoption.