When working with multiple datasets, entities, or concepts, one of the biggest challenges is showing not just the data itself, but the relationships, overlaps, and connections between them.

Hi everyone,
I’m a student learning data reporting on my own and trying to build good habits early, not just make reports that “look right.”

I’m comfortable with basic dashboards and charts, but I get stuck on questions like:

• How do you decide what actually matters to report vs what’s just noise?
• How do you think about structuring reports for different audiences?
• What mistakes should beginners avoid so reports stay clear and useful as data grows?

Would really appreciate how experienced folks approach reporting thinking, not just tools. Trying to learn the right mindset early.

Thanks in advance.

I’m curious to hear your thoughts on AI features in BI tools. I’ve been exploring options like Tableau and Power BI — especially their natural language query functions. Has anyone here actually used these? Are they true time-savers or more trouble than they’re worth?

For instance, Tableau’s Ask Data seems handy for quick visualizations, but I’ve heard it sometimes misses key filters, like specific years. Power BI’s Q&A feels a bit more responsive, especially for things like “sales by region in 2022.” I also came across FineBI’s new AI Q&A feature — seems beginner-friendly for self-service data prep. Anyone given it a try? How does it stack up?

Would love to know — are these AI features genuinely helpful, or do they still require too much oversight? And are there any other BI tools with solid AI capabilities you’d recommend?

Looking forward to your insights!

Exploring how GPT-4 and other OpenAI APIs could help automate mundane tasks like report generation, cleaning, summarization, etc. Any cool examples of how you’ve used them in your data workflow?