We have all heard the term ‘Citizen Data Scientist’ made mainstream by Gartner since 2016. If you haven’t, then you may be in one of the ever-shrinking circle of industries that has yet to be upheavaled by digital disruption.

A Citizen data scientist is a person who can use or generate models that utilise advanced diagnostic analytics or predictive and prescriptive capabilities. They often use automation tools such as Alteryx or Power BI, and can typically generate slightly more complex insights than your average data analyst.

Citizen data scientists are an organisation’s way of digitizing by upskilling their existing workforce to tap into the data the can usually be found lying around the organisation unused. Ernst & Young (EY) does this by providing employees access to a myriad of technology courses for free on Udemy.

But is this enough? Can Citizen data scientists unlock the potential treasure trove of insights within organisations, having to be able to juggle between their day-to-day operations and practices, while trying to be more data-centered?

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