Big Data Analytics: A Practical Guide for Managers

Big Data Analytics: A Practical Guide for Managers provides tools to make informed decisions about big data purchasing initiatives, comparing and contrasting the different types of analysis commonly conducted. It also covers prominent software packages, GIS, machine learning applications, privacy and surveillance issues, and basic statistical concepts. The authors explain these concepts so managers can ask better questions of their analysts and vendors.

Format: Paperback / softback
Length: 576 pages
Publication date: 13 June 2022
Publisher: Taylor & Francis Ltd

Big Data Analytics: A Practical Guide for Managers is a comprehensive resource that empowers managers and decision-makers to make informed decisions regarding big data purchasing initiatives. This invaluable guide not only provides detailed descriptions of common tools but also surveys the diverse range of products and vendors that serve the big data market. By comparing and contrasting the various types of analysis commonly conducted with big data, this accessible reference offers clear-cut explanations of the fundamental workings of big data tools. Instead of focusing solely on the technical aspects of installation, it delves into the compelling reasons why readers would choose to install specific packages.

The book offers authoritative guidance on a wide array of tools, encompassing both open-source and proprietary systems. It meticulously details the strengths and weaknesses of integrating big data analysis into decision-making, while also shedding light on how to harness the advantages while mitigating the inherent limitations. Furthermore, the book explores the benefits of distributed computing in simple terms, providing a foundational understanding for managers who may be new to this concept.

In addition to its comprehensive coverage, the book includes substantial vendor/tool material, particularly focused on open-source decisions. This resource is invaluable for managers seeking to navigate the complex landscape of big data technologies. The book also examines prominent software packages, such as Hadoop and Oracle Endeca, providing in-depth insights into their functionalities and applications. Moreover, it delves into GIS and machine learning applications, highlighting their significance in today's data-driven world.

While big data has the potential to deliver remarkable insights, it is important to recognize that errors can occur when basic statistical concepts are misapplied. The authors of this book take a proactive approach by explaining these concepts in a manner that empowers managers to avoid such errors. By understanding the underlying principles, managers can make informed decisions that are based on accurate data analysis, ensuring that their organizations derive maximum value from their big data investments.

In conclusion, Big Data Analytics: A Practical Guide for Managers is a must-read for managers and decision-makers who are eager to leverage the power of big data in their organizations. With its comprehensive coverage, insightful explanations, and practical guidance, this book provides the tools and knowledge necessary to make informed decisions about big data purchasing initiatives. By embracing the principles outlined in this book, managers can unlock the full potential of big data and drive innovation and growth in their respective industries.

Dimension: 234 x 156 (mm)
ISBN-13: 9781032340197