Business Intelligence for Decision Making

ISBN Number : 978-93-5273-956-1

Student Price : Rs.180

Student Dollar Price : 7$

Book Edition : First

Year of Publication : 2018

No. Of Pages : 152

Book Weight :0

About The Book

Business Intelligence has drawn considerable attention of both academicians and practitioners. Business intelligence, as one of the fastest developing business application areas, has potential role in good and quality decision making. Much of the business intelligence techniques rely on data mining processes. Hence, data mining has a vital role to play in Business Intelligence.

This book presents various data mining techniques that are commonly used in Business Intelligence for effective decision making in businesses. Data warehouses also have a great role in storing large amounts of data from various sources. This data is very useful in finding new and hidden patterns which help the business to flourish during the downturns.

Several examples have been presented for easy understanding of the concepts in this book. The content of this book was taken from several websites, blogs, e-books, e-newspapers, etc. which contributed towards Business Intelligence and Decision Making.

This can serve as a supplementary reading, reference book for those who want to gain some extra knowledge in Decision Making, Data Mining and Business Intelligence.

 

Contents -

1. Introduction
2. Business Decision Making
3. Decision Making Tools and Techniques
4. Decision Support Systems and Expert Systems
5. Data Warehousing
6. Data Mining – An Overview
7. Data Mining Techniques
8. Business Intelligence vs. Business Analytics (Bi Vs. Ba)
9. Conclusion

About The Author

Dr. V.V. Narendra Kumar did his B.Tech. from Regional Engineering College, Warangal (currently NITW). He did his M.S. (Software Systems) from BITS Pilani and completed his Ph.D. in IT from Vinayaka Missions University, Salem, Tamil Nadu. He also has MBA (Marketing) degree from IGNOU. He has more than 20 years of teaching experience as Computer and Management faculty and has published articles in various national and international journals. His areas of interest are DBMS, Data Mining, Business Intelligence, Software Engineering and Java.

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