People, Process or Technology? Managing effective technological change

With 65% of US executives categorizing data science as another first-class discipline like marketing or finance, it is critical to understand how it can tangibly create change in business.

Nowadays, data science is hardly a one-person show. People exercise data skills without even realizing it and there are many facets of it that have applications across every business.

Dividing the key dimensions for technological change into “People, Process and Technology”, this article from academic, Tom Davenport, advises on how to effectively use data science across an organization: Toward Better Data Science: Mostly People, But Also Process and Technology

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