April 19, 2018 - John Thuma | Big Data Ecosystem

Enabling Citizen Data Scientists – and Those around Them

Companies are extending data and analytics across departments, so “a follow-on effect is that personnel who previously didn’t have to perform analytics now have to do so in order to do their jobs,” according to the 451 Research report Citizen Data Scientists: The New Darlings of the Analytic Sector? Download the report to read 451 Research’s detailed take on these shifting analytic responsibilities as well as the potential benefits and hurdles for the citizen data scientist.

For background, the term “citizen data scientist” was coined by research firm Gartner. The role is defined as “a person who creates or generates models that use advanced diagnostic analytics or predictive and prescriptive capabilities, but whose primary job function is outside the field of statistics and analytics.” The primary job function and the depth of traditional advanced analytics education and training are two key differences between a “citizen data scientist” and a “data scientist.”

At Arcadia Data, our native business intelligence platform for data lakes significantly increases the strategic value and return on investment in citizen data scientist resources. Our customers see every day how valuable it is to provide people in this new role with self-service access to the data they need and to make it easy and intuitive to analyze and visualize that data. But one thing that differentiates Arcadia Enterprise from competitive solutions designed for citizen data scientists is that we have also placed considerable emphasis on the roles that surround the citizen data scientist. We don’t create new hurdles for data engineers who need to integrate new tools into complex enterprise analytic ecosystems. And we don’t add headaches for over-stretched IT departments that must manage new systems as well as user access to those systems.

Arcadia Enterprise enables citizen data scientists to find insights within modern data platforms, but still addresses the needs of supporting stakeholders. Consider the points around each stakeholder below:

  • Citizen data scientist: This is perhaps the most obvious stakeholder for Arcadia Data and Arcadia Enterprise. As an example, a citizen data scientist could be “a marketer using analytics to run campaigns and other promotional activities,” according to the 451 Research Report. As such, they probably want to analyze the results of historical campaigns. While this sounds simple, in practice, the effort of gaining access to and integrating campaign data from web logs, email and marketing automation logs, and search engine marketing campaigns (just to scratch the surface) can leave very little time for analysis before the next batch of campaigns needs to be launched. With Arcadia Enterprise, citizen data scientists have instant access to granular data of this nature directly within their big data platform. Citizen data scientists can be extremely agile. They can begin exploring quickly and directly without building data marts, cubes, or extracts. They can build advanced analytics and visual reporting applications without writing any code, so others can leverage the insights they have generated and explore even deeper.
  • Enterprise architect: For this group, Arcadia Enterprise is practically a no-brainer. They need to reduce the “clutter” of big data stacks while enabling end users to access and analyze that data. Arcadia Enterprise sits directly on top of your data platform, eliminating the complexity of the traditional data and BI stack. By keeping everything in-cluster, we create something that is both extremely powerful and extremely simple.
  • IT: We have been careful not to burden the IT group with new management complexities. Because Arcadia Enterprise sits directly on top of your data platform, we are able to leverage the user management and security of your platform. Arcadia Enterprise eliminates the need for data silos and associated data movement and duplication. And end users are able to perform much of the necessary data modeling that was historically outside their skillset.

The citizen data scientist is a role that is here to stay, and it is a role that can generate immense value when properly enabled. But it’s important to remember that the citizen data scientist does not operate on an island. Send me a note if you’d like to discuss how Arcadia Enterprise can enable the citizen data scientists within your organization.


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