5 Power BI Workflows AI Just Made Obsolete

Read time: 2.5 minutes

5 Power BI Tasks that AI Has Taken Over

1. Creating Reports

Previous Method: Begin from ground zero and craft every graphic element directly by hand.
Current Method: Leave it to AI to run a draft using all data, so you can work on it later with your insight.
Means of New Work: AI drafts the designs, while you select the one that is most suitable.

2. Writing DAX Expressions Alone

Old Method: Scouring the Internet for information, conducting trial-and-error and solutions.
Today’s Method: Relying on AI for writing and revising DAX measures as you check whether your business processes work correctly.
New Work Status: Less coding, more thinking.

3. Long Hours Are Used For Data Preparation.

Previous Activities: Making data ready for analysis by preparing data manually
The New Method: AI does the heavy lifting, allowing you to focus on supporting data quality.
Current Nature of Work: Automate everyday work, take responsibility for key issues.

4. Determining Graphics by Testing.

Old Practice: Take multiple charts and try to find the right one.
New Approach: Get AI suggestions to adjust your narrative and craft more engaging messages.
New State of Affairs: We have a pair of stories instead of charts.

5. Concentrating on Reporting

Old Process: Generate reports and wait for input.
New one: AI allows users to drill into data and ask questions directly, freeing business members to focus on more decisive challenges.
The latest situation: Questions are more important than reports.

💡Key Takeaway: 

AI is not taking over Power BI professionals; it is taking over mundane tasks that do not add value. Successful professionals will not be those who generate the most reports. Those who succeed will be experts who leverage AI alongside their business knowledge to gain valuable insights, make impactful decisions, and deliver results.