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Q: What is your understanding of Agile data analytics?

The vast majority of respondents define Agile data analytics "as a way to develop BI and other data analytics solutions using methodologies borrowed from Agile development." According to Sebastian Hassinger, "The most significant advantage for analytics is to radically lower the cost of experimentation. Being able to create stories that frame a hypothesis, build code quickly that support those stories, and then test that hypothesis under real-world conditions is immensely significant in product development. Combined with product strategy under the auspices of Lean startup approaches, it creates a very powerful tool for exploring opportunities and finding product/market fit efficiently and with a higher probability of success than traditional means. Unearthing that power through Agile analytics brings benefits to entrepreneurial projects and established businesses alike."

* Excerpted from "Achieving an Agile Organizational Mind," (Login Required) Cutter Benchmark Review, Vol. 13 No. 2.

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