It feels as though there is a movement to apply agile development methodologies to analytics teams, both the data collection component and the analysis component. What does this mean? What is the driving force behind it?
What are the risks? What are the benefits? Does this strip out the curiosity that we want in analysts? Does this remove any room to improvise or flexibility to address impromptu business questions or scenarios? We talk about how analytics already doesn’t have a seat at the “grown ups” table, does this exacerbate that problem? Does it reduce the value of the analytics team to just tickets completed?
On this episode of the 33 Tangents podcast, Jason and Jim discuss what it means to apply the Agile development framework to the analytics team’s processes and the pitfalls they’ve seen organizations encounter. They weigh the pros and cons of Agile as it relates to an analytics program and the impact it could have.
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