HBR Guide HBR Guide to Data Analytics Basics for Managers, (Paperback)
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HBR Guide HBR Guide to Data Analytics Basics for Managers, (Paperback)
Don't let a fear of numbers hold you back.
HBR Guide HBR Guide to Data Analytics Basics for Managers, (Paperback)
商品＃: 32721586

HBR Guide HBR Guide to Data Analytics Basics for Managers, (Paperback)

81% of respondents would recommend this to a friend

商品＃: 32721586

TWD 906

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What Stands Out

Manager-Focused Insights
Tailored specifically for managers, providing essential data analytics knowledge needed to make informed decisions and drive organizational success without requiring a technical background.
Practical Applications
Offers real-world examples and actionable strategies, equipping managers with tools to effectively implement data analytics in their teams, thereby enhancing productivity and efficiency.
Comprehensive Resource
An all-in-one guide that simplifies complex concepts into digestible formats, making analytics accessible for managers at any level who wish to leverage data in decision-making.

產品詳情

Get the HBR Guide to Data Analytics Basics for Managers in paperback. Improve your managerial skills with actionable insights. Shop now at Ubuy Taiwan
Book formatHardcover
Fiction/nonfictionNon-Fiction
GenreBusiness & Investing
Publication dateApril, 2018
Pages256
Reading levelProfessional & Vocational
SubgenreDecision Making & Problem Solving
Series titleHBR Guide
Edition1
PublisherHarvard Business Review Press
Original languagesEnglish
LanguageEnglish
Is collectibleN
Binding typePerfect Binding
Recording time0 min
Retail packagingSingle Piece
Assembled product dimensions (l x w x h)5.00 x 0.70 x 9.00 in (12.7 x 1.8 x 22.9 cm)
Assembled product weight0.6 lb (270 grams)
Bisac subject headingBusiness & Economics

Who Should Buy?

Suitable For
  • New Managers

    Ideal for managers new to data analytics, providing foundational knowledge and practical insights for effective data-driven decision-making.

  • Team Leaders

    Helps team leaders understand analytics concepts, empowering them to lead data-centric initiatives and foster a data-driven culture.

  • Business Strategists

    Supports business strategists in leveraging data analytics to inform strategy and improve overall business performance.

Not Suitable For
  • Data Experts

    Not suitable for seasoned data analysts who may find the content too basic and lacking advanced analytical techniques.

產品描述

HBR Guide HBR Guide to Data Analytics Basics for Managers, (Paperback)

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客戶問題與解答

  • 問題: What is the format of the book?

    Answer: The book is in paperback format.
  • 問題: Who is the author of the book?

    Answer: The author is Harvard Business Review.
  • 問題: What topics does the book cover?

    Answer: It covers data analysis processes, metrics identification, A/B testing, and effective communication of findings.

Harvard Business Review All Books Editorial Review

HBR Guide to Data Analytics Basics for Managers is a must-read for professionals aiming to improve decision-making skills in the business sector. Published by Harvard Business Review Press in April 2018, this non-fiction book spans 256 pages and falls under the genre of Business & Investing. Its focus on data analytics empowers managers to harness data effectively in problem-solving scenarios. With a perfect binding and dimensions of 5.00 x 0.70 x 9.00 inches, it's designed for practical use in professional settings, making it a valuable resource for enhancing analytical insights.

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優點

  • Comprehensive insights on data analytics
  • Focuses on decision-making strategies
  • Practical applications in business contexts
  • Well-structured for professional learning
  • Authored by reputable Harvard Business Review Press

缺點

  • Not a collectible edition

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特色和優勢

  • Brand new book in excellent condition.
  • Essential for managers navigating today's data-driven environment.
  • Covers key steps in the data analysis process.
  • Helps you identify necessary metrics and run effective tests.
  • Provides guidance on asking the right questions and understanding stats.
  • Learn to create effective visualizations and avoid common mistakes.

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