The Unofficial Google Data Science Blog

OCTOBER 21, 2015

One purpose of data science is to inform actual “business decisions”, or, more precisely, decisions of importance to the team or community served by the data scientist. The beliefs of this community are always evolving, and the process of thoughtfully generating, testing, refuting and accepting ideas looks a lot like Science.

Slice and Dice 45

Slice and Dice Experimentation Data-driven Data Science 45

datapine

FEBRUARY 4, 2020

Although keep in mind your long-term performance is one of the most important parameters to decide in which way you have to adjust your campaigns and efforts, weekly summaries can decrease the number of interdepartmental meetings between marketing professionals, and provide a faster way to analyze big data. click to enlarge**.

Reporting 280

Reporting Marketing Advertising Metrics 280

Occam's Razor

JANUARY 7, 2014

First… it is important to realize that big data's big imperative is driving big action. Second… well there is no second, it is all about the big action and getting a big impact on your bottom-line from your big investment in analytics processes, consulting, people and tools. ."

Data-driven 140

Data-driven Consulting Reporting Marketing 140