The Hadooponomics Podcast, Episode 9 – The Secret to Building an Effective Team of Data Scientists

HadooponomicsThis week on the Hadooponomics podcast we welcomed Bob Hayes to the show. Bob not only runs his own consultancy focusing on the intersection of Big Data and customer experience, but he also serves as Director of Content at Appuri.

What I enjoyed most about Bob’s perspective is that he holds a PhD in Industrial Organizational Pshychology and brings a lens of applying the human element to the very fact-based world of data.  In this episode, we start the discussion by breaking down findings from his primary research surveying 490 data scientists. We highlight key outcomes, including the types of skills that data scientists typically do (and do not) have, as well what it takes to build a data science team with maximum effectiveness.

From there, we navigate the conversation into a discussion around STEM education in America, and finally we end the interview with talking about how Bob works with his own clients. We explore what Bob advises his clients to do when they start their own analytics initiatives, and also talk about the biggest mistakes that he sees clients making as they try to get a positive return from their Big Data investments.

All in all, this episode shaped up to be an informative piece with a number of actionable tips and insights to bring back to your day job.

Listen to the Show:

Use the embedded media player to stream the full episode or you can subscribe to our iTunes and Stitcher channels. The full transcript of the interview is also available.

PodcastHadooponomics Podcast Home | Subscribe via iTunes | Stitcher Radio | Transcript

Additional Resources

Find Bob on Twitter: @bobehayes

Check out Bob’s research featuring 490 data scientists, as well as his work at Business Over Broadway.

About Arcadia Data:

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Arcadia Data unifies visual analysis, business intelligence and data discovery; it runs natively on your Hadoop clusters without data extracts. Its easy-to-use browser-based visualizations deliver secure access for hundreds of concurrent users across hundreds of billions of rows in near-real time.

About James Haight

James Haight is a principal analyst at Blue Hill Research focusing on analytics and emerging enterprise technologies. His primary research includes exploring the business case development and solution assessment for data warehousing, data integration, advanced analytics and business intelligence applications. He also hosts Blue Hill's Emerging Tech Roundup Podcast, which features interviews with industry leaders and CEOs on the forefront of a variety of emerging technologies. Prior to Blue Hill Research, James worked in Radford Consulting's Executive and Board of Director Compensation practice, specializing in the high tech and life sciences industries. Currently he serves on the strategic advisory board of the Bentley Microfinance Group, a 501(c)(3) non-profit organization dedicated to community development through funding and consulting entrepreneurs in the Greater Boston area.
Posted on June 22, 2016 by James Haight

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