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Rise of the Citizen Data Scientist | Sendero Consulting

Last updated: 04-15-2019

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Rise of the Citizen Data Scientist | Sendero Consulting

There is a lot of talk in today’s business climate about data and analytics, but what is the best way to unlock the full potential of your company’s data?

We sat down with Scott Miller, Senior Partner, to discuss the emerging role of citizen data scientists and how your company can empower its employees to become proficient in new, emerging technologies and start delivering advanced analytics.

I know that the term “data scientist” has been around for a while, so what is a “citizen data scientist” and why is this a new trend?

The big technology research houses coined the term and they define it as the bridge between traditional mainstream self-service data discovery by non-IT users and the advanced analytics techniques of data scientists.

Why don’t firms just hire a data scientist and be done with it?  Why go to all the trouble of transitioning their business analysts to be citizen data scientists?

It is a bit daunting if you break down what skills and experience a data scientist needs to possess to be effective in their role. Requirements include, but are not limited to:

In a word, a data scientist is a unicorn – and they are in very short supply. The ability to hire or develop data scientists is out of reach for all but the largest companies or governments with significant financial resources.

So how do you replace all of that experience, skill, and knowledge of a data scientist to have a highly functioning citizen data scientist?

Well, you can’t really completely replace them, but with the advancements of data analytics tools and technologies these capabilities are becoming more accessible to the average analyst. Instead of the years of education and experience, more junior analysts can spend months in training on these tools and how they are applied and can quickly become proficient and start delivering more advanced analytics.

In the same way, these new analytics tools are democratizing the practice of advanced analytics to a broader set of employees.  It is also important to identify data scientists, either inside an organization or external, to be resources to coach and encourage the citizen data scientists in their pursuit of their analytics journey.


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