I published my first book, Business Intelligence and Data Mining Made Accessible, on Amazon Kindle, today on the most auspicious Akshay Tratiya (Invincible Third Day) today.
This book fills the need for a concise and accessible book on the topic of Business Intelligence and Data Mining. It is a conversational book that feels easy and informative. This short and lucid book covers everything important, with concrete examples, and invites the reader to join this field.
Business is the act of doing something productive to serve someone’s needs, and thus earn a living, and make the world a better place. Business activities are recorded on paper or electronic media, and then these records become data. There is more data from customers’ responses and from the industry as a whole. All this data can be analyzed and mined using special tools and techniques to generate patterns and intelligence, which reflect how the business is functioning. These ideas can then be fed back into the business so it can evolve to become more effective and efficient in serving customer needs. And the cycle continues. This book essentially expounds of this virtuous cycle.
Data analytics and data-based decision-making are hot topics now. Big Data has entered the common parlance as many kinds of data are generated by business, social media, machines, and more. Organizations have a choice: they can be buried under the avalanche of data, or they can do something with it to increase competitive advantage.
Students across a variety of academic disciplines, including business, computer science, statistics, engineering, and others are attracted to the idea of discovering new insights and ideas from data. This book is designed to provide a student with the intuition behind this evolving area, along with a solid toolset of the major data mining techniques and platforms.
Existing textbooks in this field seem too long, too technical, and too complex. This book has developed from my own class notes, and reflects my many years of IT industry experience, as well as many years of academic teaching experience. The chapters are organized for a typical one-semester graduate course. The book contains many case-lets from real-world stories at the beginning of each chapter. There is a running case study across the chapters as exercises.
This book can also be gainfully used by executives, managers, analysts, professors, doctors, accountants, and other professionals to learn how to make sense of the data coming their way. This is a lucid flowing book that one can even finish in one sitting, or can return to it again and again for insights and techniques.