The ever-increasing amount of data makes data analytics and an important constituent of business development. To beat the competition in business, you need to stay abreast with the changes in business analytics. The term “smart data discovery” was introduced formally in 2017 and is reigning as a powerful differentiator across industries. To get clear insights, most organisations are now focusing on building models and integrating data for simplifying it and automating the tasks. This has increased the demand for skilled data scientists considerably in the market. Augmented analytics is the alternative for these data scientists that can iteratively perform the data-to-insight-to-action activities like preparing the data, deciphering data patterns and building models, and distributing and operationalising the data findings. This saves both time and resources used for getting relevant business insights from the data.
Using augmented reality data insights can be automated with the help of machine learning and natural language generation (NLG). Data-based decision making is facilitated faster and more aptly using these insights. Thus, augmented analytics is a new wave of disruption in the data analytics market, and enterprises need to opt for it as the platform capabilities are maturing.
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