This is part 4 of a multi-part series on the Analytics Operating Model.

As we move forward in our blog series on the Analytics operating model, we pinpoint the essential processes for delivering analytics. Data may be a prerequisite for most of these processes, but a successful solution is born from both science and art. Unlocking business value requires a healthy dose of creativity to work with data in its native state – incomplete and confounding.

Pierre Teilhard de Chardin, a 19th century Jesuit priest and philosopher, may have been one of the first to encapsulate our need for creativity: “Our duty, as men and women, is to proceed as if limits to our ability did not exist. We are collaborators in creation.”

An elusive, but extremely important question in the advanced analytics journey is how to push past the limits and consistently discover new insights.  In one case, valuable insight may be revealed from a clustering algorithm which diagnoses data flow anomalies and points to a potential corporate network breach. In another case, a supervised machine learning model may be required to drive down false positive fraud alerts for consumer credit.

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http://www.enaxisconsulting.com/the-art-science-behind-analytics-processes/