"Business intelligence is currently moving to bridge the gap between curious business users and data through AI-powered agents. The transformation promises to eliminate the traditional barriers that have plagued analytics for decades. We spoke with Matthew Miller, VP of Product Management at Tableau/Salesforce, about what is called Tableau Next. Miller, who has worked in and around analytics for 27 years, describes what he calls a pivotal moment in the analytics world."
"One of the biggest barriers to data democratization is the loss of institutional knowledge. During a customer visit to Arendonk, Belgium, Miller encountered a veteran employee who had spent 25 years developing an intuitive sense of what the data really meant. "As the dashboard is loading, this old guy is going 'you want that table? No, no, not that one. You gotta exclude code 999. That's a test code,'" Miller recalls. "How would I have known that?""
Business intelligence is shifting toward AI-powered agents that connect curious business users directly to data and answers. Persistent barriers have kept analysts and business users separated by complex processes and bureaucratic layers. New analytics platforms embed AI across workflows to rethink interactions with data and to make insights flow throughout organizations. Capturing tacit institutional knowledge and encoding it into semantic layers aims to preserve experiential rules and reduce reliance on individual experts. The approach seeks to democratize access, remove bottlenecks, accelerate decision-making, and surface reliable answers without requiring specialized data teams for every question.
Read at Techzine Global
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