◆ Microsoft Power BI

Connect Power BI with Excel

This is real work, not a feature someone invented — it comes from real job ads and real questions people asked. Below are four ready AI prompts: get it done, make it easy for the next person to say yes to, work out the right move when you are stuck, and stop it coming back.

4prompts

The same task, four prompts

today's deadline · the next reviewer · the stuck moment · the pattern
AExecute — do the immediate taskConnect the 'Monthly Budget' Excel file from the finance shared drive to the 'Budget vs…+
Connect the 'Monthly Budget' Excel file from the finance shared drive to the 'Budget vs Actuals' report, ensuring the data refreshes daily at 6 AM.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
BImprove — make it easier to acceptBefore the Q2 review, connect the 'Sales Forecast Q2' Excel spreadsheet, which Sarah in Sales…+
Before the Q2 review, connect the 'Sales Forecast Q2' Excel spreadsheet, which Sarah in Sales updates daily, to the 'Sales Performance Dashboard'. Make sure that any new rows Sarah adds are automatically included in the report's calculations.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CDecide — diagnose the stuck momentI connected the 'Project Hours' Excel file from the project manager's OneDrive, but the totals…+
I just connected the 'Project Hours' Excel sheet, but the data in the report isn't matching what's in the spreadsheet.
I connected the 'Project Hours' Excel file from the project manager's OneDrive, but the totals in my report are completely off compared to the spreadsheet. I'm afraid I've either missed some data or duplicated it, and the project manager needs accurate figures by end of day. What's the likely problem, and what's the best next step to diagnose and fix this data mismatch?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI'm always spending too much time cleaning and verifying data from various Excel files that…+
I frequently struggle with ensuring data from various Excel files is consistently and accurately integrated into my reports.
I'm always spending too much time cleaning and verifying data from various Excel files that feed into my reports. It feels like a constant battle to ensure consistency and accuracy, especially when multiple people are updating the source files. What habit should I change to build more robust and reliable connections between Excel data and my reports?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?

Questions people actually ask

honest answers, no sign-up

Every task here was seen in the real world. Someone doing the job named it, a real job ad asked for it, or a lot of people asked about it online.

If nothing real showed a task, it is not on the page. That is the whole rule.

They are the same job approached four ways, because what you need depends on where you are.

Get it done today. Make it easy for the next person to say yes to. Work out the right move when you are stuck. Learn the pattern so the job stops coming back.

For most of these jobs it can carry the heavy thinking - draft it, sort it, check it, rehearse it with you.

It cannot sit in your chair, take the blame when a number is wrong, or notice what nobody wrote down. Let it do the first 80%. Keep the last 20% that is truly yours.

No. Copy any prompt and paste it into the AI you already use. No account, no score, no wall in the way.

Any of them. The prompts describe the work rather than naming a product, so they are not tied to one assistant.

That is also why they keep working when you switch.

Change it freely. Every prompt is a starting line, not a rule.

Put in your real numbers, your real names and your real deadline. The more you make it yours, the better the answer comes back.

The tasks come from real job ads, published job data and the questions people ask in public forums.

The steps come from Microsoft Power BI's own documentation, with practitioner sources for the traps the manual does not mention.

Push once. Ask it to sharpen the weakest part and to say what it assumed.

Most wrong answers come from a missing detail rather than a bad prompt - tell it the thing it could not know.