Those interested in big data, data mining, and data analytics.  Specifically how your organization is implementing analytic solutions what has worked and what has failed. If you want to learn from others success and failure within their organizations on how to execute Analytics, this is the place for you. We will dive into how your are driving success by utilizing these tools.  Share best practices and lessons learned. Topics: Roles and organizational set-up Hurdles faced with implementation …

The R language and environment is rapidly becoming the lingua franca of statistical computing and the platform of choice for data analysts and research scientists. Join together with other Triangle-area R users ("useRs") to share tips and techniques. Beginners welcome!