Gartner Report: An Executive Leader’s Guide to Staffing Effective Data Science Teams
Published 28 July 2020
By Farhan Choudhary, Associate Principal Analyst
As companies take on new data-driven initiatives, it can be difficult to identify and fill personnel gaps. Whether you are looking to arm internal teams with new skills or hire outside talent, there are multiple considerations for how to build strategic data teams for digital transformation.
What roles should you hire? Do you look internally or externally for the right talent? Should current responsibilities be redistributed to meet new goals?
In this exclusive report from Gartner, executive leaders will learn how to identify knowledge gaps, structure their team, and which roles are most crucial for success.
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How can Braincube empower your data teams?
Braincube doesn’t complete with the models built by your data scientists. Instead, our algorithms, plug-and-play apps, and dashboards complement their models. These tools also help them build, run, and manage their models.
Braincube was designed by manufacturers for manufacturing. Regardless of whether your data scientists have process knowledge or not, our apps enable them to identify cost savings, reduce risks, and democratize data.
Industry 4.0 is about more than data-driven decisions. We believe digital transformation should foster collaboration, project management, communication, and teamwork. Braincube goes beyond a few isolated teams by connecting people to each other.
Are Data Scientists in a New Professional Bubble?
In yesterday’s economy, we believed that we were turning more and more to an economy of talent. A young engineer who used the first big data tools with ease often progressed faster than a conservative expert camped on his historic positions.
But are data scientists in a professional bubble that’s about to burst? In this article, Braincube CEO proposes a new way to approach—and hire for—digital transformation.
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