Context Is King: Putting The Science In Data Science – Mikael Klingvall

Enterprise analytics, advanced or otherwise, exist to improve the business decisions and the bottom line. Problem is, bad analytics will lead to bad business decisions, wasting a lot of money. Good analytics require understanding of the enterprise context of the analytics process, and of contextual analysis within that process.

Key Points:

– Data science is expensive, and bad analytics will hurt the company

– Good business decisions rely on accurate analytics, and analytical accuracy relies on contextual analysis

– Good analytics requires in-house business, organization, and actual science acumen

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