Название: Recent Trends and Future Direction for Data Analytics
Автор: Aparna Kumari
Издательство: IGI Global
Год: 2024
Страниц: 370
Язык: английский
Формат: pdf (true), epub
Размер: 36.0 MB

In an increasingly data-centric world, scholars and practitioners grapple with the complexities of harnessing data analytics effectively across various industries. The challenge lies in navigating the rapid evolution of methodologies, identifying emerging trends, and understanding the nuanced applications of data analytics in real-world scenarios. This gap between theory and practice inhibits academic progress. It hampers industry innovation, leaving stakeholders needing help to leverage data to its full potential.

In today’s data-centric environment, data analytics has become increasingly crucial, offering insights from extensive data sources. This chapter presents an introductory overview of data analytics, emphasizing its significance, methods, and practical applications. It examines fundamental aspects like data collection, preprocessing, analysis, and interpretation, alongside the diverse array of tools and methodologies employed. Furthermore, it delves into the pivotal role of data analytics across decision-making processes, business intelligence endeavors, predictive modeling, and other pertinent fields. Data analytics examines raw data to understand what it tells us. It’s like digging into information to find out what’s important. Data analysis helps us understand things better, like how to make something work or do things more efficiently. By using these methods, we can make things run smoother and even save money. It’s super important for any organisation because it helps them make smarter decisions and understand what customers like or don’t like. This means they can make better products and services and market them more effectively. Data analytics is used in many different areas, and there are many tools to help with it. This chapter discusses all of this and cover how data analysis can help businesses in different ways, like figuring out customer trends, improving products, and making marketing strategies more effective.

Recent Trends and Future Direction for Data Analytics presents a compelling solution. By delving into real-world case studies spanning supply chain management, marketing, healthcare, and finance, this book bridges the gap between theory and practice, offering invaluable insights into the practical applications of data analytics. A systematic exploration of fundamental concepts, advanced techniques, and specialized topics equips scholars, researchers, and industry professionals with the knowledge and tools needed to navigate the complexities of data analytics with confidence.

This book is designed as a comprehensive resource for academia and industry alike. It serves as a roadmap for understanding the current state of data analytics and anticipating its future trajectories. By offering a blend of theoretical foundations and practical applications, it empowers readers to unlock the full potential of data analytics, driving innovation, informed decision-making, and transformative change across diverse sectors.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Advanced Analytics Techniques
Big Data Analytics
Case Studies
Classification
Clustering
Data Ethics
Data Preparation
Exploratory Data Analysis
Future Trends
Natural Language Processing
Predictive Analytics
Regression Analysis




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