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  <titleInfo>
    <title>Business analytics</title>
    <subTitle>Methods, models, and decisions</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Evans, James R.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">nju</placeTerm>
    </place>
    <place>
      <placeTerm type="text">New Delhi</placeTerm>
    </place>
    <publisher>Pearson India Education Services Pvt. Ltd.</publisher>
    <dateIssued>2021</dateIssued>
    <dateIssued encoding="marc">2020</dateIssued>
    <edition>3rd ed.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <language>
    <languageTerm authority="iso639-2b" type="code">ENG</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>704 p.  PB</extent>
  </physicalDescription>
  <abstract>"This book provides undergraduate business students and introductory graduate students with the fundamental concepts and tools needed to understand the emerging role of business analytics in organizations, to apply basic business analytics tools in a spread-sheet environment, and to communicate with analytics professionals to effectively use and interpret analytic models and results for making better business decisions. We take a balanced, holistic approach in viewing business analytics from descriptive, predictive, and prescriptive perspectives that today define the discipline"--</abstract>
  <tableOfContents>Introduction to business analytics -- Analytics on spreadsheets -- Visualizing and exploring data -- Descriptive statistical measures -- Probability distributions and data modeling -- Sampling and estimation -- Statistical inference -- Trendlines and regression analysis -- Forecasting techniques -- Introduction to data mining -- Spreadsheet modeling and analysis -- Monte Carlo simulation and risk analysis -- Linear optimization -- Applications of linear optimization -- Integer optimization -- Decision analysis.</tableOfContents>
  <note type="statement of responsibility">by James R. Evans </note>
  <subject authority="lcsh">
    <topic>Mathematics</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Commercial statistics</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Business intelligence</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Business planning</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Strategic planning</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Industrial management</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Statistical methods</topic>
  </subject>
  <classification authority="ddc">658.403 3  JAM-B</classification>
  <identifier type="isbn">9789390394586</identifier>
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