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The inability to handle data growth. It could come as a massive undertaking for you, due to the information stored in the IT systems around the globe. Even if you are doing the analysis of statistical data for a single assignment, creating the required infrastructure to handle data growth is immense.
Making the wrong choice of research data to use. Data analysis is at times marked with endless misconceptions, regarding the kind of data you should use to do which types of tests. Handling tedious analytics and using various insights to transform data analysis operations may make you trip over.
Not knowing how to represent data in a visual format. As the person that is analyzing data, it is your duty to produce the best reports that can clearly express insights in a wide and digestible format. This is not always that easy.
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