Interpret the output of analytics

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Analytics is a term frequently used in business today. While there is little doubt that using data to make decisions is a good idea-does this leave room for personal judgment? In what circumstances, if any, is a judgment to be preferred over analytics decision-making? Justify your answer.

Human expertise and judgment are needed to interpret the output of analytics. Data are worthless if you cannot analyze, interpret, understand, and apply the results in context (Turban, 85).

I compare analytics a bit with research. I know many industries use research as well to find out evidence of what is working well and what needs improvement. Then, this information is presented to everyone involved to offer solutions to the areas where a firm is struggling. I think that at this point is where analytics decision-making or judgment would come into play. When presenting information, you need to be ready to back up the information that you are presenting and the reasons for how your solutions would benefit everyone. There should always be room for personal judgment even if it's not preferred. In circumstances where information is poorly presented or omitted, or information can be backed up with real data then I think the personal judgment should be preferred over analytics.

Reference:

Turban, E., Pollard, C., & Wood, G. (2018). Information Technology For Management (11th ed.). Hoboken, NJ: Wiley.

Reference no: EM133104193

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