Data analysts are quite expensive to gain BI for small and medium-sized enterprises; as they gather, prepare, and clean up data which accounts for the productive hours of data analyst. This increases with the production of unwanted amount of big data that the world is producing every day. It is becoming critical to gain an in depth understanding of the technology trends and prioritize them based on business value. Businesses may risk losing their competitive advantage if they do not keep up with data and analytics trends. Augmented data management is followed closely with augmented analytics.  This management leverages on ML and AI to automate manual tasks that are repetitive which helps the experts to focus on higher value tasks.

By automating insight generation, augmented analytics relieves a company’s dependence on data analysts by using the advanced machine learning and artificial intelligence algorithms. Augmented Analytics can access an organisation’s data, clean, analyse and convert the insights into actionable intelligence for the marketers with a bit of technical supervision.  

Augmented analytics is an initiative in terms of digital transformation agenda for businesses. The technology is finding its growth and is yet to make its mark.