CIO Business Intelligence
SEPTEMBER 9, 2022
Measure the right outputs. Of course, the industry has matured a lot since McConnell’s book was released in 2004, and everyone pretty much understands the need for the cogitating phase of software development. Nobody likes to be treated like a line item on the budget. Passion and space to innovate.
The Unofficial Google Data Science Blog
MARCH 22, 2018
But what if users don't immediately uptake the new experimental version? Background At Google, experimentation is an invaluable tool for making decisions and inference about new products and features. For example, we might want to stop the process if we measure harmful effects early. What if their uptake rate is not uniform?
The Unofficial Google Data Science Blog
OCTOBER 12, 2017
We data scientists now have access to tools that allow us to run a large numbers of experiments, and then to slice experimental populations by any combination of dimensions collected. Make experimentation cheap and understand the cost of bad decisions. This leads to the proliferation of post hoc hypotheses. What is to be done?
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