Business Intelligence, Analytics, and Data Science: A Managerial Perspective
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Business Intelligence, Analytics, and Data Science: A Managerial Perspective
A managerial approach to understanding business intelligence systems.
Business Intelligence, Analytics, and Data Science: A Managerial Perspective
№ на артикул: 22084260

Business Intelligence, Analytics, and Data Science: A Managerial Perspective

87% of respondents would recommend this to a friend

№ на артикул: 22084260

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€ 219

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A managerial approach to understanding business intelligence systems.
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What Stands Out

Comprehensive Coverage
This edition extensively covers essential concepts in business intelligence, analytics, and data science, equipping managers with the knowledge to leverage data-driven decision-making effectively.
Practical Examples
Real-world case studies and practical applications illustrate complex theories, helping managers grasp the importance of data analytics in contemporary business environments.
Managerial Focus
Designed specifically for managers, this book addresses the unique challenges they face, enabling them to understand and implement data strategies efficiently to drive growth and innovation.

Информация за продукта

Get the latest edition of Business Intelligence, Analytics, and Data Science: A Managerial Perspective and gain insights into advanced data analysis techniques. Shop now on Ubuy Bulgaria.
  • 4th edition of Business Intelligence, Analytics, and Data Science: A Managerial Perspective
  • Provides insights into the managerial aspects of business intelligence and data science
  • Covers topics like data visualization, big data, and predictive analytics
  • Written by experienced authors with expertise in the field
  • Useful for professionals and students in business analytics and data science
  • Offers a comprehensive understanding of data-driven decision-making
Publisher Pearson
Publication date January 13, 2017
Edition 4th
Language English
Print length 512 pages
ISBN-10 0134633288
ISBN-13 978-0134633282
Item Weight 2.03 pounds (920 grams)
Dimensions 9.8 x 7.8 x 0.7 inches (24.9 x 19.8 x 1.8 cm)

Who Should Buy?

Suitable For
  • Business Managers

    Ideal for managers seeking to enhance decision-making through data-driven insights and analytics strategies for their organizations.

  • Data Analysts

    Useful for analysts who require a managerial perspective to align analytics with business objectives and improve effectiveness.

  • Students in Business

    Great resource for students aiming to understand the integration of data science in managerial practices within business contexts.

Not Suitable For
  • Technical Data Scientists

    Not suitable for those looking for in-depth technical data science concepts and coding-related guidance beyond managerial views.

ОПИСАНИЕ НА ПРОДУКТА

Business Intelligence, Analytics, and Data Science: A Managerial Perspective

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Information Management Editorial Review

This review praises the affordable pricing of this book and the good physical condition of the rental version received. However, the majority of feedback is strongly negative. Customers found the book difficult to read, poorly assembled, with pages missing or scrambled and figures not displaying properly. Some customers found themselves confused and discontinued their class. Many deemed the book "useless as a study material." The "Kindle Book" version was rated poorly due to blurry pages, orientation issues, and the cut-off representation of full book pages which rendered it "completely unreadable." There are typos and a confusing use of mid-paragraph acronyms and it was stated that the book used too many words to define highlighted keywords. Overall, reviewers did not recommend this book and Considered it a poor study choice. **

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Професионалисти

  • Affordable pricing
  • Good physical condition of the rental version

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  • Difficult to read

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€ 168

€ 219

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Характеристики и предимства

  • Solid foundation of BI
  • Reinforced with hands-on practice
  • For future managers
  • Analytics focused
  • Aids in understanding BI

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