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  <titleInfo>
    <title>Data visualization with Microsoft Power BI</title>
    <subTitle>how to design savvy dashboards</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Kolokolov, Alex</namePart>
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  <name type="personal">
    <namePart>Zelenksy, Maxim</namePart>
    <role>
      <roleTerm type="text">author.</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Dullea, Kate</namePart>
    <role>
      <roleTerm type="text">illustrator.</roleTerm>
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  <genre authority="lcgft">Self-help publications.</genre>
  <genre authority="rvmgf">Livres de croissance personnelle.</genre>
  <originInfo>
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    <dateIssued encoding="marc">2024</dateIssued>
    <copyrightDate encoding="marc">2024</copyrightDate>
    <edition>First edition.</edition>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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    <extent>397 pages  color illustrations, color maps  24 cm</extent>
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  <abstract>"The sheer volume of business data has reached an all-time high. Using visualizations to transform this data into useful and understandable information, you can facilitate better decision-making. This practical book shows data analysts as well as professionals in finance, sales, and marketing how to quickly create data visualizations and build savvy dashboards. Alex Kolokolov from Data2Speak and Maxim Zelensky from Intelligent Business explain in simple and clear language how to create brilliant charts with Microsoft Power BI and follow best practices for corporate reporting. No technical background is required. Step-by-step guides help you set up any chart in a few clicks and avoid common mistakes. Also, experienced data analysts will find tips and tricks on how to enrich their reports with advanced visuals. This book helps you understand: The basic rules for classic charts that are used in 90% of business reports ; Exceptions to general rules based on real business cases ; Best practices for dashboard design ; How to set up interactions ; How to prepare data for advanced visuals ; How to avoid pitfalls with eye-catching charts"--</abstract>
  <tableOfContents>Classic visuals -- Trusted advanced visuals -- Risky advanced visuals.</tableOfContents>
  <note type="statement of responsibility">Alex Kolokolov and Maxim Zelensky ; illustrator, Kate Dullea.</note>
  <note>Illustrator statement of responsibility from title page verso.</note>
  <note>Includes index.</note>
  <subject authority="lcsh">
    <titleInfo>
      <title>Microsoft Power BI (Computer file)</title>
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  <subject authority="lcsh">
    <topic>Business intelligence</topic>
    <topic>Computer programs</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Information visualization</topic>
    <topic>Computer programs</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Business</topic>
    <topic>Data processing</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Visual analytics</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Management</topic>
    <topic>Data processing</topic>
  </subject>
  <subject authority="rvm">
    <topic>Visualisation de l'information</topic>
    <topic>Logiciels</topic>
  </subject>
  <subject authority="rvm">
    <topic>Gestion</topic>
    <topic>Informatique</topic>
  </subject>
  <subject authority="rvm">
    <topic>Analyse visuelle</topic>
  </subject>
  <classification authority="lcc">QA76.9.I52 K67 2024</classification>
  <identifier type="isbn">9781098152789</identifier>
  <identifier type="lccn">2024408324</identifier>
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