How to avoid self-type data analysis? You must know the three principles

2017-01-05
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As a data analyst, you have not experienced such distress?

PPT written so many people no one to see?

After mentioning so much data did not then?

Business sector that you do not do high salaries with Gansha live?

Yes, the data analysts pull a lot of data, drawing a lot of plans, built a lot of models, but there is no legendary data-driven business, and perhaps even decorative business are not?

Is this a little desperate?

This paper mainly helps the data workers to judge the recognition needs from the perspective of the source, and help the data staff to play the value of the data in the enterprise through the three rules of demand + communication + landing.

Why since Hi? Remember how your analysis report came out? Leadership inspiration is a? Apply the results of various mining algorithms? Business sector casually mention the extension? and many more. No matter what, no matter who mentioned, let us think about it, you need to stop the analysis of the station? Is the pseudo-demand or real demand? Why is there such a need? The key is that the demand is the data can be resolved?