Power and sample size in R, and How R can help with Business Intelligence

Steve Simon will talk about power and sample size calculations in R. Here is a brief abstract.

R has some easy to use functions that can help you justify your proposed sample size using power calculations. You will see these functions in action and also hear about other considerations when planning an appropriate sample size.

There is a second speaker, Taylor Rodgers. Here is his title and abstract.

**Title: **Why Business Intelligence is the Hardest Data Strategy (and How R Programming Can Help)
Synopsis:
In this presentation, Taylor Rodgers, co-founder of Data Breakthrough and author of Data Work and R Programming in Plain English, will walk through how business intelligence relates to other data strategies, why it usually fails to achieve its goals, why companies fail to move towards more advanced data strategies, and how R programming really could help solve most of these problems.