Stop using AI for "Insights." Use it for the 80% of BI work that actually sucks.

Summary

AI tools are often used to generate insights, but addressing the challenging 80% of BI work should take priority.

Emphasis on execution over storytelling

The use of AI in business intelligence (BI) is shifting from merely uncovering insights to automating routine tasks. A discussion on Reddit highlights the need for AI applications that can automatically map legacy data fields, write tests for new dbt models, and label sensitive information. This can significantly reduce the workload for BI professionals.

A shift in the BI market

This shift in AI applications has implications for the BI market. It allows organizations to spend less time on administrative tasks and more on strategic decision-making. Competitors still stuck in outdated views of AI might find themselves at a disadvantage. The trend of leveraging AI for productivity and efficiency aligns with wider digitization efforts currently underway.

Dealing with tedious tasks

BI professionals should consider which repetitive and uninspiring tasks they can automate using AI. By viewing AI not only as a tool for insights but as a means to relieve the tedious aspects of BI processes, professionals can shift their focus toward strategic analyses and valuable insights.