Where should analytics live?

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Your cross-divisional analytics team may be called many things, including a business analytics center of excellence or a business intelligence competency center. Regardless of what it is named, you will need to pick up your PACE (predictive analytics center of excellence) or be left behind.

To really see the benefits of analytics across your organization, it's vital to form a team with the right skill sets, which aren't all mathematical. Predictive analytics ultimately helps to grow revenue and cut costs, but it takes people, process, and technology working together to solve business issues and to help the businesses grow. That is exactly what an analytics center of excellence is designed to do.

But what is the right place for this group in your organization? Where should your analysts sit, and how will they interact with everyone across your organization? See the answer here:

Center of Excellence: Where Should Analytics Live?

See more videos like this one from the SAS Best Practices team.

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About Author

David Pope

Technical Leader, Senior Manager US Energy

David leads the pre-sales technical team for SAS US Energy which solves business problems in the Oil & Gas and Utilities industries using advanced analytics. He is a lifetime learner who enjoys sharing information and helping others to grow their careers. He earned a BS in Industry Engineering and a Computer Programming Certificate from North Carolina State University. Furthermore, he has over 29 years of business experience working with SAS across R&D, IT, Sales and Marketing in the Americas and Europe. He is an expert in working with data and producing insights through the use of analytics. David has presented at SAS Global Forum, the 2012 SAS Government Leadership Summit, IBM’s Information on Demand(IOD), EMC World, CTO Summit Conferences, is the author of the book: "Big Data Analytics with SAS", and he currently holds 14 patents for SAS in several countries: US, CA, Norway, UK, China, Mexico, and Hong Kong.

2 Comments

  1. The people that can really dig through analytics to come up with nuggets of information, and the people that need those nuggets, usually come from very different backgrounds. Your data analysts have to be a cross between IT and marketing professionals with the tech skills to turn random data into real insights, and interpersonal skills to share that data.

    • David Pope

      Pat,
      I agree you need different skill sets from different backgrounds to create new insights and then to integrate those insights into existing systems.
      This blog was about where that organization should be located. I've blogged previously on the people and skills needed within this predictive analytics center of excellence (PACE) previously. For more details read this blog "The key to solving problems is to use ppt" http://bit.ly/1kCDol5
      David

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