This 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:
Find Bob on Twitter: @bobehayes
About Arcadia Data:
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.