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Augmented Analytics

Augmented analytics uses technologies such as artificial intelligence (AI), machine learning, and natural language processing to enhance data analysis efforts. These technologies can be used across data analytics workflows, from preparing and cleansing data to generating and exploring new insights. Augmented analytics benefits both experienced analysts and non-technical citizen data scientists by allowing them to spend less time on tedious manual tasks and more time on valuable analysis.

What Small and Midsize Businesses Need to Know About Augmented Analytics

Becoming data-driven strongly correlates with positive business outcomes, such as increased profitability and higher customer acquisition rates. Augmented analytics also enables business agility, accuracy, and increased confidence in predictions and forecasts, all of which can be transformational for small and midsize businesses that lack in-house advanced data analytics capabilities.

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