This document discusses personal analytics and how data science can be used to personalize users' experiences based on their individual context and needs. It outlines the key components of personalization, including information analytics, product domain expertise, user experience design, understanding real-time needs, access modes, and modeling the individual user. The goal is to subtly adjust users' experiences based on what they have requested and what can be inferred about them, delivering predictive and personalized analytics. As an example, it describes how FirstRain uses these techniques to provide personalized business intelligence to each user.