The computing power available for processing data from all around the globe has risen to a level at which fundamentally new corporate policies and practices of data analysis are emerging. For instance, monitoring the performance of individual work effort represents a significant cost for an organization, and inefficiencies are created when the flow of information on individual performance decreases (Alchian and Demsetz 1972). Thus, using advanced techniques such as machine learning and artificial intelligence that enable data scientists and professionals to harvest the available information in innovative ways is a mandatory corporate process. There is a crucial need for each business to develop systems and ...
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