Enterprise analytics in 2025: AI and analytics convergence and focused utility
In 2025, BI dashboards are dead and AI is moving the user experience from query, response and decision support to agent-based planning and execution with validated accuracy, automated process execution, adaptability and business impact. Enterprises are moving past experimentation, enabling specialized tools and systems of intelligence to address challenges at scale. The melding of AI with enterprise analytics is happening now as enterprise data platform vendors like Snowflake and Databricks recognize that they must differentiate beyond data aggregation and cleansing to systems of intelligence that support systems interaction and engagement.
The industry itself is also shifting away from generalized AI solutions that are now commodities toward focused, utility-based applications that address in specific challenges in specific industries like healthcare, manufacturing, finance and telecommunications with specific solutions. We are seeing evolve with Agentic AI solutions from SAP, Salesforce and Microsoft to name but a few that will move beyond data as insight to data as action.
Data and analytics leaders will need to evolve how they view the role of enterprise analytics in the Age of AI. Every business initiative will expect access to organizational data and this will be problematic if data strategies don’t offer flexible, reliable and governed approaches to accessing information diverse data stores. Effective governance can clearly drive adoption of intelligent analytics throughout the business.