Analytics to the next step: Augmented analytics By Aditya Abeysinghe   The traditional process of data analysis includes obtaining data from a raw source and then preprocessing and then analyzing it to make business decisions. However, this process includes data scientists and data analysts handling data of organizations. Many small and medium enterprises which have lesser capital to invest in these two ends lack the talent to profit from analysis and analytics on data. Augmented analytics is a new method used to analyze data using AI (Artificial Intelligence) and report on results found. What augmented analysis means for users For example, consider an organization that has to decide on reaching a new target market. It may consider what customers, who purchase from competitors are considering when purchasing products; it may consider the sales or profits of competitors or it may consider the factors that drive success in the target market, ...

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