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5 Roles You Need on Your Big Data Team

Getting value from Big Data requires also paying enough attention to people, and is not just about hiring the best talent. Also very important is identifying the roles the companies really need.

HBR Blog, by Matt Ariker, Tim McGuire, and Jesko Perry, July 22, 2013.c comments

Big DataWhile many companies obsess about how to turn their data into value, we find they spend too much time on the "data" and not enough time on the "people" side of the equation.

Getting the people side of the equation right, however, is not just about hiring the best talent (though that's important, of course). In our experience, companies overlook two critical items: 1) Identifying the roles they really need and 2) building a "customer-service" mentality in their advanced analytics bureau.

... While different companies will have different talent needs, here are five important roles to staff your advanced analytics bureau:

1. Data Hygienists make sure that data coming into the system is clean and accurate, and stays that way over the entire data lifecycle. ...

2. Data Explorers sift through mountains of data to discover the data you actually need. ...

3. Business Solution Architects put the discovered data together and organize it so that it's ready to analyze. ...

4. Data Scientists take this organized data and create sophisticated analytics models that, for example, help predict customer behavior and allow advanced customer segmentation and pricing optimization. ...

5. Campaign Experts turn the models into results. They have a thorough knowledge of the technical systems that deliver specific marketing campaigns, such as which customer should get what message when. ...

It is important to map the movement of data across the Big Data team and ensure that all data hand-offs between humans and machines have clear owners. This mapping ensures that each person in a given role is held accountable for complete delivery, not just for completing his or her individual tasks.

Read more.

Gregory PS: Are there roles that this article by McKinsey directors misses?

For example, DBA, Visualization experts, Chief Data Officer, Domain expert?

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