课程: Leverage Generative AI to Streamline Processes and Increase Efficiency as a Manager
Analyzing data and identifying trends
课程: Leverage Generative AI to Streamline Processes and Increase Efficiency as a Manager
Analyzing data and identifying trends
- Data is everywhere now. Both in the workplace and in our personal life. Have you ever stared at a dataset, not sure what to do with it? With Gen AI, you don't have to be an expert data analyst to find insights and trends. Imagine your manager just told you about a request from the senior leadership team asking for an analysis of the latest sales numbers. How would you help them? Let's first anticipate what questions they might ask about the sales data. What are your guesses? My first would be, how do we do this month? My second guess would be around, is that better or worse than forecast? And third would be how do we do relative to the last months? Then maybe they'll ask 'em why questions? Why do we do well or not so well? And what's driving this particular result? You can use a simple prompt like, analyze this data set to identify the top three most significant trends. For each trend, describe the observed pattern. You can also ask to segment the data with prompts like, segment the data into distinct groups based on observable trends. Describe the characteristics of each group and any potential explanations for the observed segmentation. Alternatively, if you have done this type of analysis before and already have concrete steps you want to follow, you can describe precisely how you want the data to be analyzed. A prompt I will use might look like, please analyze the provided dataset in detail following these steps. Now you can pause the video and practice with a dataset I have provided.
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内容
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Analyzing data and identifying trends1 分钟 56 秒
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Using GenAI to analyze charts1 分钟 54 秒
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Exercise: Analyze a dataset and identify trends46 秒
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Creating compelling narratives4 分钟 52 秒
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Analyze and create action plans based on employee feedback in surveys1 分钟 52 秒
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Exercise: Create a data-driven story based on a provided dataset2 分钟 13 秒
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