Reducing experiment costs by changing what you measure
Understanding how a data platform can make experiments less expensive or more reliable (but rarely both).
Building a framework for learning from past experiments.
The fundamental difference is flexibility vs consistency
How narrowing the research process creates competitive advantage
A data platform can drive research by moving processes towards consistency.
Data science requires understanding your users as much as understanding your data.
It's not enough to give users the data if they don't have the levers to use it.
If you're going to treat data as an asset, you should make sure everyone in your organization can benefit.
For users to leverage analytical data, it must fit into their operational systems.
To get users to look at analytics, link them to the software where they do their work.
To build data tools that will be used, consider how users can respond to what they learn.