In today’s highly competitive market, the case for augmented analytics arises from the need to obtain business intelligence in real time. From an operational point of view, it enables automation of manual workflows that were highly tedious and error-prone. With respect to user experience, the bar for analytics consumption has got lower and users with even basic digital literacy, can explore and analyze data to the finest level possible.

However, that’s just the shiny side. Though AI augmentation has achieved a leap in efficiency with respect to analytics workflow automation, many business users are still miles behind in adopting the AI-powered enhancements. Overcoming the hurdles for adoption shall result in reduced time-to-insights to drive agile and timely decision-making, that shall open up a range of possible business benefits such as such as faster time-to-market, enhanced ROI, savings in cost etc.

We shall proceed to discuss further about the major challenges in each key area of AI augmentation with the example of how we at Zoho Analytics have handled them to empower business decision-making.