Analytics Camp 2013-05-04 Data Built to Last
1st Session: Data Built to Last with Melinda Thielbar
She’s a data scientist in the RTP area.
Three things: Actionable, Verifiable, Repeatable.
1. I wish I knew this. This is what I would do if I knew this.
Who is fraudulent? How can I stop them?
2. What do I know now?
Technical process is taking the thing you wish you knew and turning it into what to do now.
You need a feedback loop from what you wish you knew and what you know now. (agile process methods?)
Take action and see if it worked. First verification should be cheap before you go wild.
A/B testing-cheap way to run experiments.
Build a process for the end user so you don’t have to babysit them.
Repeatable: use programmers to build something that is repeatable.
The Endeavor Blog is a good resource.
A learning resources page is on the wiki. There is a Coursera class on data analytics.
Follow hmason on twitter Hillary Mason.
openIntro.org/stat starts you with statistics.
More resources and web sites on the analytics camp wiki.