Augmented Analytics

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 Augmented Analytics isn’t just a buzzword anymore. Rather, it’s the future of business analytics. Gartner predicts the deployment of AI in business analytics to be the second most important technology trend in the forthcoming year. In fact, by the end of this year, they predict that more than 40% of data science tasks will be augmented and automated.

Augmented analytics is the practice of deploying automated algorithms to not just process large sets of data, but to also make predictions and prescriptions based on that recommended data. Augmented analytics looks a little like machine learning and artificial intelligence, which opens up a world of potentials for businesses. AI working alongside data scientists, parsing data, alerting us to potential discrepancies in numbers long before the human eye catches it isn’t just a concept for science fiction anymore. thinks that the rise of augmented analytics will play a large role in the proliferation of other data trends as well. such as DQM and governance.

We’re growing past the days of the passive reports that tell us what did happen and are now evolving into the dynamic world of live updating. Augmented reports now tell us what will happen. As the internet of things continues to grow, our pool of data will also exponentially grow, meaning that self-learning tools like AI and augmented analytics will have even more information to learn from. This also means that they will get another area to serve, making their continued development and adoption a priority.

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