The Development of Augmented Analytis
Author - Simran Yadav
If data is the gas in a car, then, analytics is the car itself
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Currently, there are a few trends and topics in tech without which the talk around technology and innovation is incomplete — analytics, artificial intelligence, blockchain to name a few. Augmented analytics is an extension of analytics that focuses on three main areas — Machine Learning, Natural language generation (NLP), and Insight automation. The basic premise of augmented analytics is the elimination of painstaking tasks in the process of data analysis and, replacing them by automation thus, refocusing human attention on modern analytics, business process, and business value generation.