As a business grows, it faces the challenge of managing, security and accessing its data in a meaningful way. Often, the concepts of data management, data engineering, data lakes, data warehouses and data mining are well behind business needs and, by the time the business team takes a hard look at the issues, the task of bringing it all together to enable data analysis and a comprehensive data strategy is a daunting one.
If your business wants to take on a Citizen Data Scientist initiative, it must enable its culture to support augmented analytics within the enterprise at every skill level and provide support to transform business users into the Citizen Data Scientist role. Citizen Data Scientists will incorporate the use of augmented analytics and enjoy the features of an augmented analytics solution that will support users of every skill level with auto-suggestions and guidance to help them choose visualization techniques and appropriate analytical techniques and algorithms to complete their analysis, share information with other users and make fact-based decisions.
As one of its Strategic Assumptions, Gartner predicted that ‘By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.’ Gartner also predicts that the number of Citizen Data Scientists will grow five times faster than the number of expert data scientists through 2020, and that by 2019 the amount of advanced analytics produced by citizen data scientists will surpass that produced by data scientists.
