Biases in Data Analysis IT & Computer Science Essay (Essay Sample)

Biases in Data Analysis
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Bias in data analysis is a major contributor to bad decisions that end up hurting organizations, institutions, businesses among others. This mostly occurs in the evidence-based practices that rely on data in order to make an informed choice with the right backing of enough information. With the negative outcome of any data analysis, many organizations, institutions or businesses end up arriving at a misguided conclusion; hence a flawed process. Various kinds of biases are always a hindrance for many organizations to make a workable decision. Biased data or human biases always get many organizations, institutions or businesses on the wrong path regardless of how established they are or whether they have the best of intentions. It always hurts organizations economically whenever they rely on information or data that appear to be true and in a real sense it is not. Biases cannot be said to be obvious or exclusive because some of the biases are not easy to identify and they can occur in any case of the data analysis. This, therefore, means that members of any data team or leaders of organizations, institutions or businesses should be always aware of this fact and find ways of minimizing the biases or how to overcome them (Morgan, 2015).