What is Augmented Analytics? It’s machine learning and gathering data from everyday citizens, then using it for predictions and judgement within the market. Scientists use augmented analytics to automatically find, visualize, and narrate relevant findings without having to build models or write algorithms.
- Augmented means having been made greater in size or value.
- Analytics means the systematic computational analysis of data or statistics.
Data is collected from multiple locations such as social media posts, website analytics, and press releases. Once the information is gathered, it is then sorted through and arranged in predicting insights that companies can use for their action plans.
What’s the purpose of augmented analytics? These solutions provide consumer predictions, giving people exactly what they want. By having analytics collected and refined by a computer, scientists have more time to research and broaden their study to other intense projects. It cuts out the time-consuming work of traditional analytics.
By 2020, augmented analytics — a paradigm that includes natural-language query and narration, augmented data preparation, automated advanced analytics, and visual-based data discovery capabilities — will be a dominant driver of new purchases of business intelligence, analytics and data science and machine learning platforms and of embedded analytics.Augmented Analytics Is the Future of Data and Analytics, Analyst(s): Rita Sallam, Cindi Howson, Carlie Idoine
Augmented analytics is the future of predictions and understanding of people insights. By knowing what consumers what, companies and businesses can gather more of an understanding. Computers do this all the time. The data on your phone has been recording the moment you agreed to the terms and conditions.
From scares and misplaced hype, more consumers are frighted for their privacy than they’ve ever been. Not only do they have to worry about the dark web, but it’s also their everyday technology too. It’s hard to put trust into devices that slowly collect information.
In reframing the way we think about AI’s and augmented data. This kind of innovation makes way for the future. Everything and everyone, including technology, is ever evolving. Despite the fact that Augmented Analytics is new, it’s a product of the future that will take our civilization to another level.