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We often discuss that we shouldn’t explain the process to stakeholders and avoid using technical language as a data analyst.

But there is another point that we need to consider when explaining insights, and that is:

๐—ง๐—ฎ๐—ถ๐—น๐—ผ๐—ฟ ๐˜†๐—ผ๐˜‚๐—ฟ ๐—ถ๐—ป๐˜€๐—ถ๐—ด๐—ต๐˜๐˜€ ๐—ฎ๐—ป๐—ฑ ๐—ฒ๐˜…๐—ฝ๐—น๐—ฎ๐—ป๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฎ๐—ฐ๐—ฐ๐—ผ๐—ฟ๐—ฑ๐—ถ๐—ป๐—ด ๐˜๐—ผ ๐˜€๐˜๐—ฎ๐—ธ๐—ฒ๐—ต๐—ผ๐—น๐—ฑ๐—ฒ๐—ฟ๐˜€ ๐—ผ๐—ฟ ๐—น๐—ฒ๐—ฎ๐—ฑ๐—ฒ๐—ฟ๐˜€๐—ต๐—ถ๐—ฝ.

Let me explain:

โ€ข So, there are multiple stakeholders in a company, and you need to cater to many of them.

โ€ข Now, the sales department will be more interested in metrics such as sales across regions, while the marketing department will be interested in campaign performance, ROI, profit-cost percentage, and more.

โ€ข So, it is obvious that the leaders of these departments will be interested in relevant analysis only.

โ€ข So, tailor your insights according to leadership and stakeholders as well.

Comment down how you tailor your insights as a data analyst.

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