Getting Ready for Self-Service Analytics

Dateline: November 4, 2016

Welcome to our Friday WRAP – one thought-provoking idea to think about over the weekend.

Analytics and new ways to extract value are consuming an increasing amount of attention from CIOs.  One of the newest ‘trends’ is building analytics tools that are self-service, that is business staff can use them without the intervention of data scientists.  These tools have capabilities in the form of preset algorithms for the most common questions business users ask of the data.  Recently, Scott Schlesinger, principal at EY’s IT Advisory in the Americas, was quoted at Baseline Magazine about what is necessary to make self-service analytics a success.

Success, Schlesinger says, revolves around three primary areas: the technical capabilities that tools deliver, including an organization’s ability to support and grow with the technology; cultural factors, including who has access to the system, how they’re able to use it and the required training to glean useful insights; and political factors about how decisions are made.

Where can your organization use self-service analytics?  What will you need to do to overcome the cultural and political factors that might get in the way of success for your team?

That’s a WRAP!  Have a great weekend.

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