How to build a great data science team [Video]

Select the mix of skills right for your data analytics business goals

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Enterprises that want to launch big data initiatives — or even more ambitiously, seek to create an “analytics culture”  — invariably should answer a handful of critical questions before spending money and allocating resources: What’s the business case for analytics? Which big data tools should we use? Should we hire a data analytics vendor to handle everything? If we build an in-house team, where do we get the analytics talent?

The last question is rooted in the reported (and sometimes disputed) shortage of data scientists needed to meet growing demand as enterprise and consumer data continue to increase exponentially. But if an enterprise is fully committed to data analytics, it will find or develop the talent.

Beyond talent acquisition, the fundamental challenge facing enterprises trying to build an effective data analytics team is determining the optimum combination of …