◆ Microsoft Azure

Choose data analytics and reporting technology

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 taskWe need to analyze sales data from our CRM and transactional database for the last quarter.…+
We need to analyze sales data from our CRM and transactional database for the last quarter. Generate a report showing top-selling products and regional performance trends.
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 we commit to a data solution for the new marketing campaign, make sure it can handle…+
Before we commit to a data solution for the new marketing campaign, make sure it can handle real-time ad click data alongside historical customer demographics. Can it scale to millions of events per hour, integrate with our existing CRM, and provide dashboards that update every five minutes?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CDecide — diagnose the stuck momentThe marketing team needs a dashboard by Friday, but our existing data warehouse can't ingest…+
The marketing team needs a dashboard by Friday, but our existing data warehouse can't ingest the new social media data fast enough.
The marketing team needs a dashboard by Friday, but our existing data warehouse can't ingest the new social media data fast enough. It's a mix of structured and unstructured data, and the volume is spiking daily. I'm afraid of missing the deadline and don't know if we need a streaming solution, a NoSQL database, or just better ETL. What's the most likely bottleneck, and what's the best next step to get this data flowing and ready for analysis by Friday?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI keep rebuilding data pipelines or re-architecting solutions every time a new data source or…+
I keep rebuilding data pipelines or re-architecting solutions every time a new data source or reporting requirement comes in.
I keep rebuilding data pipelines or re-architecting solutions every time a new data source or reporting requirement comes in. It's inefficient and delays projects. Where do I keep losing time and flexibility? What habit should I change in how I approach choosing data analytics and reporting technology to build more adaptable and future-proof solutions?
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 Azure'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.