Jeff Nicola, VP of Retail Sales at one of the nation's largest health insurance firms, and a Six Sigma Black Belt
Dr. Kudyba has drawn upon his own, as well as industry experts’, experiences to create a timely and thought provoking book on business intelligence. Big Data, Mining, and Analytics: Components of Strategic Decision Making should be recommended reading for both industry professionals and students involved in the challenge of developing actionable information. As described in this book, it is not a situation of the lack of data. It is, however, a situation where the plethora of amounts and types of data (whether structured or not) provides an arguably evolutionary situation, replete with new challenges, opportunities, and pitfalls. I highly recommend this book to anyone involved or interested in how big data, data mining, and analytics fit together in our current state; a state where the complexity, amount, and inadequate methodologies threaten the opportunities presented to leverage new sources of information to improve strategic as well as operational decision making.
Thad Perry, Ph.D., Director of Healthcare Informatics, Tennessee Technological University
Just as early analytical competitors in the ‘small data’ era moved out ahead of their competitors and built a sizable competitive edge, the time is now for firms to seize the big data opportunity. ... an excellent review of the opportunities involved in this revolution ... The road to the Big Data Emerald City is paved with many potholes. Reading this book can help you avoid many of them, and avoid surprise when your trip is still a bit bumpy.
From the Foreword by Thomas H. Davenport, Distinguished Professor, Babson College; Fellow, MIT Center for Digital Business; and Co-Founder, International Institute for Analytics