From the course: Leverage Generative AI to Streamline Processes and Increase Efficiency as a Manager

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Exercise: Create a data-driven story based on a provided dataset

Exercise: Create a data-driven story based on a provided dataset

From the course: Leverage Generative AI to Streamline Processes and Increase Efficiency as a Manager

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Exercise: Create a data-driven story based on a provided dataset

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- A reminder, while GenAI is powerful and can help you get started when you're overwhelmed by data, I would still recommend having clear questions that you're trying to answer and knowing what problems the data analysis is trying to solve. What makes the data story successful? It comes down to three Cs, Clear, Care, and Call to action. For a data story to be successful, it has to be clear, your audience must care, and there needs to be a call to action. These three elements are critical. Do you remember the last time you sat in a presentation with tons of data, and you were wondering why the slides were even on the screen? Was it unclear? Did you not care? Or was it confusing as to what you were supposed to do with this data? It's likely at least one of the three. Keep these three Cs in mind as you create the story. Let's go back to the food company sales data, and this time, you want to create a story for the CFO in an upcoming presentation. Pause the video, and work on it. When…

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