RESOURCES

Netflix values the recommendation engine powering its content suggestions at $1 billion per year and Amazon says its system drives a 20-35% lift in sales annually. What makes these systems so valuable? The answer lies in the data science that powers them.

April 5, 2017

Building the Experimental Enterprise

What does it mean to be data-driven? It’s not about finding analytical fairy dust that you can sprinkle to make everything better, but a deep-rooted approach […]
April 5, 2017

The Art of Abstraction

The traditional approach to supporting business with information technology has been via the enterprise application. Each application was written for a specific hardware platform and integrated […]
April 4, 2017

Why businesses use data science platforms

The phrase “data science platform” has been bandied about a lot recently — at conferences, in market research, and in tech publications like this one. Forrester […]

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