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This book mainly focuses on why data analytics fails in business. It provides an objective analysis and root causes of the phenomenon, instead of abstract criticism of utility of data analytics. The author, then, explains in detail on how companies can survive and win the global big data competition, based on actual cases of companies. Having established the execution and performance-oriented big data methodology based on over 10 years of experience in the field as an authority in big data strategy, the author identifies core principles of data analytics using case analysis of failures and successes of actual companies. Moreover, he endeavors to share with readers the principles regarding how innovative global companies became successful through utilization of big data. This book is a quintessential big data analytics, in which the author's knowhow from direct and indirect experiences is condensed. How do we survive at this big data war in which Facebook in SNS, Amazon in e-commerce, Google in search, expand their platforms to other areas based on their respective distinct markets? The answer can be found in this book.
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|Publisher:||Business Expert Press|
|Product dimensions:||6.00(w) x 9.00(h) x 0.44(d)|
About the Author
Patrick H. Park graduated from Korea University and received MBA from Darden School of Business at University of Virginia. He worked as a data analytics expert in a venture capital firm in NYC, and a top authority in big data strategy in a global management consulting company. He established the execution and performance-based big data methodology based on over 10 years of experience in the field. His methodology, which executes the entire process from big data strategy building to system design, development and utilization, has demonstrated its performance in major companies and research institutes. He currently serves as a management consultant and outside director for leading companies, and CEO of Value Management Group, a performance-oriented strategy-consulting network. His written work includes Brain Work (2014).