<?xml version="1.0" encoding="UTF-8"?>
<collection xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd" xmlns="http://www.loc.gov/MARC21/slim">
 <record>
  <leader>00000nam a2200000 i 4500</leader>
  <controlfield tag="001">UP-1686042739785090266</controlfield>
  <controlfield tag="003">Buklod</controlfield>
  <controlfield tag="005">20240712113052.0</controlfield>
  <controlfield tag="006">m     o  d        </controlfield>
  <controlfield tag="007">cr |nu|||uuu|a</controlfield>
  <controlfield tag="008">240712s2015    nju        j        eng  </controlfield>
  <datafield tag="020" ind1=" " ind2=" ">
   <subfield code="a">9781119181118</subfield>
  </datafield>
  <datafield tag="020" ind1=" " ind2=" ">
   <subfield code="a">9781119238881 (Online)</subfield>
  </datafield>
  <datafield tag="035" ind1=" " ind2=" ">
   <subfield code="a">18824924</subfield>
  </datafield>
  <datafield tag="040" ind1=" " ind2=" ">
   <subfield code="a">DMLR</subfield>
   <subfield code="b">eng</subfield>
   <subfield code="e">rda</subfield>
  </datafield>
  <datafield tag="041" ind1=" " ind2=" ">
   <subfield code="a">eng</subfield>
  </datafield>
  <datafield tag="084" ind1=" " ind2=" ">
   <subfield code="a">HD 38.7</subfield>
   <subfield code="b">S56 2016eb</subfield>
  </datafield>
  <datafield tag="100" ind1="1" ind2=" ">
   <subfield code="a">Schmarzo, Bill</subfield>
   <subfield code="e">author.</subfield>
  </datafield>
  <datafield tag="245" ind1="1" ind2="0">
   <subfield code="a">Big data MBA</subfield>
   <subfield code="b">driving business strategies with data science</subfield>
   <subfield code="c">Bill Schmarzo.</subfield>
  </datafield>
  <datafield tag="264" ind1=" " ind2="1">
   <subfield code="a">[Hoboken, New Jersey]</subfield>
   <subfield code="b">[John Wiley &amp; Sons Ltd.]</subfield>
   <subfield code="c">2015.</subfield>
  </datafield>
  <datafield tag="264" ind1=" " ind2="4">
   <subfield code="c">©2016</subfield>
  </datafield>
  <datafield tag="300" ind1=" " ind2=" ">
   <subfield code="a">1 online resource.</subfield>
  </datafield>
  <datafield tag="336" ind1=" " ind2=" ">
   <subfield code="a">text</subfield>
   <subfield code="2">rdacontent</subfield>
  </datafield>
  <datafield tag="337" ind1=" " ind2=" ">
   <subfield code="a">computer</subfield>
   <subfield code="2">rdamedia</subfield>
  </datafield>
  <datafield tag="338" ind1=" " ind2=" ">
   <subfield code="a">online resource</subfield>
   <subfield code="2">rdacarrier</subfield>
  </datafield>
  <datafield tag="500" ind1=" " ind2=" ">
   <subfield code="a">Includes index (pages 269-283)</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
   <subfield code="a">Big Data MBA brings insight and expertise to leveraging big data in business so you can harness the power of analytics and gain a true business advantage. Based on a practical framework with supporting methodology and hands-on exercises, this book helps identify where and how big data can help you transform your business. You'll learn how to exploit new sources of customer, product, and operational data, coupled with advanced analytics and data science, to optimize key processes, uncover monetization opportunities, and create new sources of competitive differentiation. The discussion includes guidelines for operationalizing analytics, optimal organizational structure, and using analytic insights throughout your organization's user experience to customers and front-end employees alike. You'll learn to “think like a data scientist” as you build upon the decisions your business is trying to make, the hypotheses you need to test, and the predictions you need to produce.&#13;
&#13;
Business stakeholders no longer need to relinquish control of data and analytics to IT. In fact, they must champion the organization's data collection and analysis efforts. This book is a primer on the business approach to analytics, providing the practical understanding you need to convert data into opportunity.&#13;
&#13;
• Understand where and how to leverage big data&#13;
• Integrate analytics into everyday operations&#13;
• Structure your organization to drive analytic insights&#13;
• Optimize processes, uncover opportunities, and stand out from the rest&#13;
• Help business stakeholders to “think like a data scientist”&#13;
• Understand appropriate business application of different analytic techniques&#13;
&#13;
If you want data to transform your business, you need to know how to put it to use. Big Data MBA shows you how to implement big data and analytics to make better decisions.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
   <subfield code="a">Big data.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
   <subfield code="a">Data mining.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
   <subfield code="a">Business</subfield>
   <subfield code="x">Data processing.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
   <subfield code="a">Business intelligence</subfield>
   <subfield code="x">Data processing.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
   <subfield code="a">Business planning</subfield>
   <subfield code="x">Statistical methods.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
   <subfield code="a">Management</subfield>
   <subfield code="x">Data processing.</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2="0">
   <subfield code="y">Available for UP System via Wiley Online Library</subfield>
   <subfield code="u">https://doi.org/10.1002/9781119238881</subfield>
  </datafield>
  <datafield tag="905" ind1=" " ind2=" ">
   <subfield code="a">FO</subfield>
  </datafield>
  <datafield tag="852" ind1="0" ind2=" ">
   <subfield code="a">UPD</subfield>
   <subfield code="b">DMLR</subfield>
   <subfield code="h">HD 38.7</subfield>
   <subfield code="i">A56 2016EB</subfield>
  </datafield>
  <datafield tag="942" ind1=" " ind2=" ">
   <subfield code="a">Electronic Resource</subfield>
  </datafield>
 </record>
</collection>
