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100   $a20160914d2016      fy             0
101 0 $aeng
135   $aurcnu||||||||
181   $2rdacontent
182   $2rdamedia
183   $2rdacarrier
200 10$aBig data war $ehow to survive global big data competition /$fPatrick H. Park
205   $aFirst edition.
210  1$aNew York, New York (222 East 46th Street, New York, NY 10017) :$cBusiness Expert Press,$d2016.
215   $a1 recurso en li?nea (x, 195 páginas)
225 1 $aBig data and business analytics collection,$x2333-6757
300   $aIncludes index.
311   $a1-63157-560-0 
327   $aPart 1. Dump the data -- 1. Global data war -- 2. Why did Google TV fail? -- 3. Why do they analyze data? -- Part 2. Data is human -- 4. Think as a customer -- 5. Big data, start from human -- 6. Why does Nike compete with Nintendo? -- Part 3. Data is created by me -- 7. Knowing necessary data is everything in data analytics -- 8. Create data -- Part 4. We don't need the past -- 9. Predict human unconsciousness -- 10. Anything with a pattern can be predicted -- Part 5. What matters at the end is performance -- 11. Data is strategy -- 12. Big data, a long way to go -- Epilogue -- About the author -- Index.
330 3 $aWritten by Patrick H. Park, an author of Brain Work (Korea, 2014). The book mainly focuses on why data analytics fails in business. It provides an objective analysis and root causes of the phenomenon, instead of abstract criticism of utility of data analytics. The author, then, explains in detail on how companies can survive and win the global big data competition, based on actual cases of companies. Having established the execution and performance-oriented big data methodology based on over 10 years of experience in the field as an authority in big data strategy, the author identifies core principles of data analytics using case analysis of failures and successes of actual companies. Moreover, he endeavors to share with readers the principles regarding how innovative global companies became successful through utilization of big data. This book is a quintessential big data analytics, in which the author's know-how from direct and indirect experiences is condensed. How do we survive at this big data war in which Facebook in SNS, Amazon in e-commerce, and Google in search expand their platforms to other areas based on their respective distinct markets? The answer can be found in this book.
410  0$aBig data and business analytics collection.$x2333-6757
606   $aBig data
606   $aQuantitative research
608   $aElectronic books.
610   $aAmazon
610   $aApple
610   $abig data
610   $abusiness intelligence
610   $aconsulting
610   $acustomer analysis
610   $acustomer profiling
610   $aCRM
610   $adata
610   $adeep learning
610   $aFacebook
610   $aGoogle
610   $aIT
610   $amachine learning
610   $aMBA
610   $amarketing
610   $aproduct profiling
610   $aproblem solving
610   $astrategy
610   $aTech
610   $aVenture
615  0$aBig data.
615  0$aQuantitative research.
676   $a005.7
700   $aPark$b Patrick H.$0970509
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910465673703321
996   $aBig data war$92205908
997   $aUNINA