This book provides an insight into the mechanics of Analytics and how to use it to identify and leverage the competitive advantage in the era of ever-growing data increment needs. This book discusses topics such as Foundations of Analytics, Business Analytics, Sentiment Analysis and Opinion Mining, methodology, and technical architecture. It also contains useful case studies, tips, techniques, and best practices. This book would be a hands-on reference for practitioners for dealing with the type of information often called for by practitioners, developers, and specialists working in the Data Mining and Analytics area. It would also be highly useful for the students of Computer Science, Information Technology and MBA-Information Technology at various universities.Table of Contents Analytics in Practice: What it Means Overview of Statistics, Data Mining and Analytics Effective Decision Making and Analytics Choosing the Right Analytics Technique and Tools Technical Architecture for Analytics Solutions Implementing Analytic Solutions Business Analytics and Applications Putting It TogetherIntegrated View of Customers Taming the Unstructured Text Mining Sentiment Analysis and Opinion Mining Online Business Channel and Web Analytics