Big Data for Business

by Victor Finch
Big Data for Business cover
Good Books rating 4.25
Business and Economics
Buy online
Amazon
Format/Price Check
Technical
  • ID: 10851
  • Added: 2026-02-06
  • Updated: 2026-02-21
  • ISBN: 9781973957669
  • Publisher: Createspace Independent Publishing Platform
  • Published: 2017-08-10
  • Reviews: 3

Big Data for Business is a comprehensive guide that delves into the world of data science, data analytics, and data mining to help businesses boost growth and improve operations. The book provides insights into how Big Data can identify new growth areas, streamline costs, increase operating margins, and make better human resource decisions using efficient budgets. It also explores the challenges of Big Data, when to use descriptive or predictive analytics, popular tools used by data scientists, various algorithms, Big Data and NoSQL technologies, and social examples and business applications of Big Data. The future belongs to those who embrace Big Data, and this book is your must-have guide to understanding its impact on business. It helps you form ideas on how to use Big Data for your next business growth. The book emphasizes the importance of investing in yourself, your knowledge, and your business growth. Don't hesitate to pick up your copy today and start making smarter decisions with Big Data.

Reviews
Good-Books · Book Enthusiast · 2023-02-15
excellent 4.50

The book is highly recommended for its thorough exploration of data analytics and its impact on business strategies. Readers appreciate the author's ability to simplify complex concepts.

This book stands out for its ability to break down complex data analytics concepts into understandable and actionable insights. The author's approach is both informative and engaging, making it a great read for business professionals looking to harness the power of data. Some readers wish there were more case studies to illustrate the points further, but overall, it's a well-rounded guide that can help businesses make data-driven decisions.

Quick quotes

    A thorough exploration of data analytics and its impact on business strategies.

    Simplifies complex concepts into understandable and actionable insights.

    A well-rounded guide for making data-driven business decisions.

Goodreads · Various · 2023-01-01
positive 4.25

The book is praised for its comprehensive coverage of data science, analytics, and mining, making it a valuable resource for business growth. Readers appreciate the practical insights and clear explanations provided.

Many readers find this book to be an excellent guide for understanding the complexities of big data in a business context. The practical advice and real-world examples make it accessible even to those who are not deeply familiar with data science. However, some readers feel that the book could benefit from more advanced topics and deeper dives into certain areas. Overall, it's seen as a solid introduction that can help businesses leverage data more effectively.

Quick quotes

    A comprehensive guide to understanding data science, analytics, and mining.

    Practical insights and clear explanations make it a valuable resource.

    Helps businesses boost growth and improve performance through data.

Podcast Republic · Tech Reviewer · 2017-08-29
great 4.00

The book is noted for its practical advice on leveraging big data for business growth. Readers find the content engaging and the examples relevant to current business practices.

Listeners of the podcast found this book to be a practical and engaging guide to using big data in business. The author's examples are relevant and timely, making it easy for readers to see how they can apply these concepts to their own businesses. While some listeners felt the book could delve deeper into certain topics, the overall consensus is that it's a valuable resource for anyone looking to understand the role of data in modern business. The book's ability to connect theory with real-world applications is particularly praised.

Quick quotes

    A practical and engaging guide to using big data in business.

    Relevant and timely examples make it easy to apply concepts.

    Connects theory with real-world applications effectively.

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