Analytics in Practice

"Organizations are progressively embracing predictive Analytics, using advanced machine learning algorithms such as neural networks and decision trees, to anticipate behavior and events. This book provides an insight into the mechanics of Analytics and how to use it to identify and leverage 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 in 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. Advance Praise ""The book is well structured and precisely written to enable use as a handy ready reckoner for reference during analytics implementations” — Ahijit Chatterjee, Program Manager, Business Analytics and Optimization, IBM GBS — “…Clarifies analytics by articulating a simple, straightforward approach coupled with examples and case studies to illustrate key-points…” — Mary Ohara, Senior Manager, Accenture “This book provides the right depth and breadth of information around Analytics for practitioners…” — Shagufta Kohli, Analytics Practitioner “(The book is) very well written; after reading the book I find myself immensely knowledgeable in Analytics” — Sudha Sahasrabudhe, BI Thought Leader “I wish this book was there when I was venturing into Analytics;( it is) a very valuable handbook for practitioners like us” — Anand Rawat, Analytics Practitioner “Analytics is the next management discipline, and this book is very timely for practitioners as well as managers” — Uttama Mukherjee, BI Thought Leader “…To articulate the value of Analytics and its contribution to a company’s performance, this book is of immense value…” — Smita Deshpande, Analytics Practitioner"

• Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
• Thinking with Data: How to Turn Information into Insights