Citizen Data Scientists: 7 Ways To Harness Talent - InformationWeek

InformationWeek is part of the Informa Tech Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them.Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.

IoT
IoT
Data Management // Big Data Analytics
News
7/24/2015
08:05 AM
Lisa Morgan
Lisa Morgan
Slideshows
Connect Directly
Twitter
RSS
E-Mail
100%
0%

Citizen Data Scientists: 7 Ways To Harness Talent

A new role is emerging to deal with the ongoing shortage of data scientists. Learn more about these new power users and find out how organizations can cultivate more of them.
Previous
1 of 8
Next

(Image: RyanMcGuire via Pixabay)

(Image: RyanMcGuire via Pixabay)

The worldwide shortage of data scientists won't end anytime soon. To try to compensate for the shortage, data discovery solutions are automating tasks that have traditionally been done manually by a data scientist, statistician, or other analytics expert. The confluence of trends is giving rise to a new role that Gartner calls a "citizen data scientist."

A recent Gartner report defines a citizen data scientist as "a person who creates or generates models that leverage predictive or prescriptive analytics but whose primary job function is outside of the field of statistics and analytics." It could be a line-of-business role, a business analyst, or a member of the business intelligence or IT team. The defining trait is that statistics and analytics are secondary in the role.

Not everyone in an organization will become a citizen data scientist -- at least by Gartner's definition. By that standard citizen data scientists are power users. The new role does not threaten those of data scientists, data analysts, or business analysts; it complements them. And in fact, citizen data scientists necessarily have to work with other roles to derive the most value from analytics.

Like anyone else in an organization, citizen data scientists need the right technology to do their jobs. In this case, that's one of data-discovery offerings that automate parts of complex processes such as data preparation and pattern identification.

[Read about the challenges of data misinterpretation.]

As advanced analytics capabilities become available to more people, companies will have to ensure they have the governance in place to make it work, which includes software enforcement of governance policies. According to Gartner, by 2018 the multiple styles of data discovery available today -- smart, governed, Hadoop-based, search-based, visual-based, and graph-based -- will converge as their unique capabilities become requirements. And the convergence is already under way.

Click through the following pages to learn seven ways companies can prepare for the coming wave of citizen data scientists.

Lisa Morgan is a freelance writer who covers big data and BI for InformationWeek. She has contributed articles, reports, and other types of content to various publications and sites ranging from SD Times to the Economist Intelligent Unit. Frequent areas of coverage include ... View Full Bio

We welcome your comments on this topic on our social media channels, or [contact us directly] with questions about the site.
Previous
1 of 8
Next
Comment  | 
Print  | 
More Insights
InformationWeek Is Getting an Upgrade!

Find out more about our plans to improve the look, functionality, and performance of the InformationWeek site in the coming months.

News
Becoming a Self-Taught Cybersecurity Pro
Jessica Davis, Senior Editor, Enterprise Apps,  6/9/2021
News
Ancestry's DevOps Strategy to Control Its CI/CD Pipeline
Joao-Pierre S. Ruth, Senior Writer,  6/4/2021
Slideshows
IT Leadership: 10 Ways to Unleash Enterprise Innovation
Lisa Morgan, Freelance Writer,  6/8/2021
White Papers
Register for InformationWeek Newsletters
Video
Current Issue
Planning Your Digital Transformation Roadmap
Download this report to learn about the latest technologies and best practices or ensuring a successful transition from outdated business transformation tactics.
Slideshows
Flash Poll