Augmented analytics is the use of machine learning and natural language processing to enhance data analytics, data sharing and business intelligence.
The benefits of augmented analytics to companies include better decision-making by business users, wider access to analytics by employees and helping to make companies more agile. As a result, augmented analytics have become the key differentiator for business intelligence platforms, Gartner reports.
1. Augmented analytics helps companies become more agile
Becoming a data-driven organization requires good, clean, data — and that can be hard to come by.
For example, supply chain organizations can spend months cleaning transactional data because of fragmented data sources, said Amaresh Tripathy, global leader of analytics at Genpact.
