Big Data: Modern Tools and Techniques

This book shows how to transform big data, AI, and digital technologies into powerful tools for smarter decisions, stronger strategies, and sustainable growth. Data is everywhere but only those who know how to use it can truly lead.
Packed with real-world examples and practical insights, it equips leaders, analysts, and professionals to navigate today s data-driven world with clarity and confidence. Whether in finance, marketing, or digital banking, this book reveals how data can be your greatest asset for innovation and success.

List of contents

Factors Influencing Cybersecurity Intention: The Case of Caraga State University.- The Impact of Artificial Intelligence-based Service Quality on E-Loyalty with the Mediating Role of E-Customer Satisfaction and the Moderating Role of E-Trust.- Unleashing the Potential of Industry 4.0 in Developing and Emerging Countries: a systematic literature review and future research agenda.- Cybersecurity in Smart Cars: A Literature Review.- The Impact of Artificial Intelligence Adoption on Job Security.- The influence of Blockchain technology on Business transactions and transparency in the Financial sector.

Summary

This book shows how to transform big data, AI, and digital technologies into powerful tools for smarter decisions, stronger strategies, and sustainable growth. Data is everywhere—but only those who know how to use it can truly lead.
Packed with real-world examples and practical insights, it equips leaders, analysts, and professionals to navigate today’s data-driven world with clarity and confidence. Whether in finance, marketing, or digital banking, this book reveals how data can be your greatest asset for innovation and success.

Product details

• Assisted by: Bahaaeddin Alareeni (Editor)
• Publisher: Springer, Berlin
• Languages: English, German
• Product format: Hardback
• Release: 21.01.2026
• EAN: 9783032087645
• ISBN: 978-3-0-3208764-5
• No. of pages: 363
• Illustrations: IV, 363 p. 75 illus., 66 illus. in color.
• Series: Studies in Big Data
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; Case Studies, Big Data, machine learning, Digital Transformation, Artificial Intelligence, personalization, Data Privacy, Predictive Analytics, Data Analytics, risk management, Data Engineering, Customer Insights, Regulatory compliance, Real-World Applications, Operational efficiency, Financial Decision-Making, Market Trends, Fraud Detection, Technological Advancements, Ethical Considerations, Data-Driven Finance