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Shulph Ink

Big Data Analytics: Harnessing Data for New Business Models

Big Data Analytics: Harnessing Data for New Business Models

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  • More about Big Data Analytics: Harnessing Data for New Business Models

This volume explores the diverse applications of advanced tools and technologies of the emerging field of big data and their evidential value in business. It examines the role of analytics tools and methods of using big data in strengthening businesses to meet todays information challenges and shows how businesses can adapt big data for effective business practices. Many illustrative case studies are presented that highlight how companies in every sector are now focusing on harnessing data to create a new way of doing business.

Format: Hardback
Length: 306 pages
Publication date: 05 July 2021
Publisher: Apple Academic Press Inc.


The use of advanced tools and technologies in the emerging field of big data has gained significant importance in today's business landscape. This comprehensive volume explores the diverse applications of these tools and technologies and their evidential value in driving business growth and success. It delves into the crucial role of analytics tools and methods in empowering businesses to navigate the complex challenges of the modern information era. By examining how big data can be leveraged for effective business practices, the book provides valuable insights into how companies can adapt and thrive in the era of data-driven decision-making.

The adoption of big data and data analytics is on the rise, particularly among companies seeking innovative ways to enhance their capabilities and overcome challenges in dynamic processes. Numerous illustrative case studies are presented throughout the book, showcasing how companies across various sectors are leveraging data to revolutionize their operations and achieve unprecedented growth.

One of the key themes explored in the volume is the importance of data-driven decision-making. By analyzing large volumes of data, businesses can gain valuable insights into customer behavior, market trends, and operational efficiency. This information can then be used to make informed decisions that lead to improved business outcomes, such as increased sales, reduced costs, and enhanced customer satisfaction.

Another important aspect of big data and data analytics is the ability to automate processes and streamline operations. By leveraging advanced technologies such as machine learning, artificial intelligence, and cloud computing, businesses can automate repetitive tasks, reduce errors, and improve overall productivity. This not only saves time and resources but also enables companies to respond more quickly to changing market conditions and customer demands.

Furthermore, big data and data analytics provide a valuable opportunity for companies to gain a competitive advantage by identifying new market opportunities and developing innovative products and services. By analyzing customer data and market trends, businesses can identify emerging customer needs and preferences, and develop products and services that meet these needs in a unique and effective way. This not only enhances customer satisfaction but also helps to differentiate companies from their competitors and drive market share.

In conclusion, this volume provides a comprehensive and insightful exploration of the diverse applications of advanced tools and technologies in the emerging field of big data. It demonstrates the evidential value of these tools and technologies in driving business growth and success. By examining the role of analytics tools and methods in strengthening businesses to meet the challenges of the modern information era, the book provides valuable insights into how companies can adapt and thrive in the era of data-driven decision-making. Whether you are a business professional, researcher, or student, this book is a must-read for anyone interested in leveraging big data and data analytics to achieve their organizational goals.

Weight: 672g
Dimension: 161 x 243 x 22 (mm)
ISBN-13: 9781771889568

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