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Public AI explainer video

Apply AI module 4 EN

Here is the turn: a pattern is not an explanation. If Monday sales fall while opening times also change, those two facts move together; that does not...

Prompt

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Welcome to module 4. You'll learn how to use your numbers to make better decisions. Your business already produces data: orders, customer reviews, stock. But writing down numbers is not yet understanding them. Writing down is recording. Understanding is drawing an idea to act on. AI can spot in seconds what changes in a table: a drop, a rise, something unusual. But you are the one who looks for the real reason and decides. To question your numbers well, three habits. One: explain to the AI what your table contains, with the columns, the period and the units. Two: ask a clear question. Three: verify before acting. Be careful: if two things change at the same time, it doesn't mean one causes the other. Then, you create a small dashboard. Keep only three to five indicators, and set an alert level for each. Also remember: bad numbers give a bad analysis. Elorm saw that her sales dropped on Mondays. By checking, she understood she opened too late. She changed her opening time.

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Video narration

Here is the turn: a pattern is not an explanation. If Monday sales fall while opening times also change, those two facts move together; that does not prove one caused the other. Check the real cause first. Bad numbers produce bad analysis. Then keep your dashboard small: three to five useful indicators, not every number you record. An indicator is a number you watch regularly, and an alert level tells you when it needs attention. Elorm checked her table instead of guessing. Monday sales were down, and the records showed she was opening too late. She changed her opening time. Now the table does more than record Monday. It points to one checked decision. Use trusted numbers to decide what to change.