Application of Big Data and Business Analytics

Big Data and Business Analytics explores solutions to societal, environmental, and industrial problems using advanced analytic tools. It brings together researchers, engineers, and practitioners from various fields, covering a wide range of topics. The primary target audience is researchers, academics, and data scientists interested in analyzing and applying big data analytics, while also being of general interest to postgraduates and undergraduates.

Format: Hardback
Length: 208 pages
Publication date: 04 December 2020
Publisher: Emerald Publishing Limited

Big data and business analytics are powerful tools that utilize advanced analytic techniques to uncover solutions to societal, environmental, and industrial challenges. This comprehensive book brings together researchers, engineers, and practitioners from diverse fields, covering a wide range of topics across nearly every domain. As the availability of data continues to grow, analytics has become an essential component of any organization's success, impacting both the top and bottom lines.

The primary audience of this book includes researchers, academics, and data scientists from various disciplines who are passionate about analyzing and applying big data analytics. However, it is also valuable for postgraduates and undergraduates pursuing advanced studies in this field.

Chapter 1 provides an overview of big data and business analytics, highlighting their significance in today's data-driven world. It explores the origins, evolution, and applications of these technologies, as well as the challenges and opportunities they present.

Chapter 2 delves into the fundamentals of data science, including data collection, cleaning, analysis, and visualization. It covers various techniques and tools used in these processes, such as machine learning, natural language processing, and data mining.

Chapter 3 discusses the role of big data in business intelligence and decision-making. It explores how organizations can leverage big data to gain insights into customer behavior, market trends, and operational efficiency. It also discusses the challenges of managing and analyzing large datasets.

Chapter 4 explores the application of big data in healthcare and medicine. It discusses how healthcare organizations can use big data to improve patient outcomes, reduce healthcare costs, and enhance research and development. It also highlights the ethical considerations and privacy concerns associated with big data.

Chapter 5 explores the application of big data in finance and economics. It discusses how financial institutions can use big data to analyze market trends, detect fraud, and optimize investment strategies. It also explores the challenges of managing and analyzing financial data.

Chapter 6 explores the application of big data in transportation and logistics. It discusses how transportation companies can use big data to improve route planning, reduce fuel consumption, and enhance customer satisfaction. It also highlights the challenges of managing and analyzing transportation data.

Chapter 7 explores the application of big data in marketing and advertising. It discusses how organizations can use big data to target customers more effectively, create personalized marketing campaigns, and measure the effectiveness of advertising. It also highlights the challenges of managing and analyzing marketing data.

Chapter 8 explores the application of big data in social media and online communities. It discusses how social media platforms can use big data to analyze user behavior, identify trends, and improve user experience. It also highlights the challenges of managing and analyzing social media data.

Chapter 9 explores the application of big data in education and learning. It discusses how educational institutions can use big data to improve teaching and learning outcomes, personalize education, and enhance research and development. It also highlights the challenges of managing and analyzing educational data.

Chapter 10 explores the application of big data in environmental science and sustainability. It discusses how environmental organizations can use big data to monitor and analyze environmental trends, identify areas of concern, and develop sustainable solutions. It also highlights the challenges of managing and analyzing environmental data.

Chapter 11 explores the application of big data in government and public policy. It discusses how governments can use big data to improve public services, monitor public health, and enhance decision-making processes. It also highlights the challenges of managing and analyzing government data.

Chapter 12 explores the application of big data in entertainment and media. It discusses how entertainment companies can use big data to analyze audience behavior, create personalized content, and enhance marketing strategies. It also highlights the challenges of managing and analyzing entertainment data.

In conclusion, Application of Big Data and Business Analytics is a comprehensive and authoritative guide that provides a comprehensive understanding of the applications of big data and business analytics in various fields. It is an essential resource for researchers, academics, and practitioners who are interested in analyzing and applying big data analytics to solve real-world problems.

Weight: 430g
Dimension: 160 x 238 x 20 (mm)
ISBN-13: 9781800438859