1. Financial Data Analytics: Theory and Application
Authors: Derindere Köseoğlu, Sinem
In today’s data-driven world, understanding financial data analytics is more critical than ever. This book provides a deep dive into both the theory and applicable methods that can be used in the finance industry. It combines theoretical concepts with practical examples, making it an invaluable resource for both students and professionals. With its comprehensive coverage and insightful analyses, this title is a definitive guide for anyone looking to enhance their financial data skills.
2. Big Data Revolution: What Farmers, Doctors, and Insurance Agents Teach Us About Discovering Big Data Patterns
Authors: Rob Thomas, Patrick McSharry
This fascinating book explores how various professionals utilize big data analytics to enhance their practices. From farming to healthcare and insurance, discover how data patterns drive decisions and innovation. The authors adeptly blend storytelling with data science, illustrating real-world applications and the profound impact of data in different sectors. This book is a must-read for anyone looking to harness the power of big data for transformative insights.
3. Business Challenges and Opportunities in the Era of Industry 5.0
Authors: Simon Grima, Salih Serkan Kaleli, Mehmet Baygin, Engin Boztepe
This upcoming publication offers a critical examination of the challenges and opportunities presented by the dawn of Industry 5.0. By integrating technology with human creativity and skills, it paves the way for innovative business strategies. This book will resonate with leaders and innovators alike, providing essential insights for thriving in a rapidly evolving business landscape.
4. Insurance, Biases, Discrimination and Fairness
Authors: Arthur Charpentier
As biases and discrimination loom large in the insurance sector, this book takes on the challenging subject of fairness. It provides a nuanced perspective, discussing how biases affect decision-making processes in insurance. With ethical considerations and case studies, it is essential reading for professionals looking to navigate these sensitive topics in an industry that shapes millions of lives.
5. UX Design for Enterprise Apps
Authors: Synechron Inc., Kapil Wadhawan, Saumen Das, Ashish Nangla, Diana Kearns-Manolatos
This unique book bridges the gap between user experience and enterprise applications within the financial services and insurance industries. It offers insightful design principles and methods to create user-friendly applications that enhance productivity and satisfaction. Ideal for UX designers and those involved in enterprise software, it encourages an innovative approach to user-centric design.
6. Methods and Design Principles for Financial Innovation
Authors: Martín Serrano, Bardia Khorsand, John Soldatos
This book presents vital methodologies and design principles for fostering financial innovation. It explores interoperability within finance and insurance tech, making it a crucial read for anyone interested in the mechanics behind modern financial services. Covering a range of applications and solutions, it highlights how to adapt to an increasingly complex financial landscape.
7. System Dependability and Analytics
Authors: Long Wang, Karthik Pattabiraman, Catello Di Martino, Arjun Athreya, Saurabh Bagchi
This book delves into the importance of analytics for system dependability, offering insights into how data influences system reliability. It’s essential reading for those involved in engineering and systems management, examining best practices and innovative approaches for guaranteeing system integrity. A comprehensive guide that emphasizes the relevance of analytics in contemporary engineering challenges.
8. FinTech and Data Privacy in Germany
Authors: Gregor Dorfleitner, Lars Hornuf
This analytical book addresses the intersection of financial technology and data privacy in Germany. It provides empirical evidence and policy recommendations to navigate this complex landscape. By understanding the regulatory frameworks and ethical considerations surrounding data usage, readers can better appreciate the challenges of ensuring privacy in the ever-evolving FinTech industry.
9. Descriptive Data Mining
Authors: David L. Olson, Georg Lauhoff
This book serves as a comprehensive introduction to descriptive data mining and its applications within computational risk management. It presents methodologies and tools that can help industries harness the power of data analytics. Essential for practitioners and researchers, it blends theory with practical instruction, enabling better decision-making through enhanced data interpretation.
10. End of Life Planning Workbook
Author: Donald E. Davis
This workbook is a practical guide for individuals looking to organize their important information for end-of-life planning. It takes a sensitive approach to an often-difficult topic, ensuring that all necessary details are collected and easily accessible. A valuable resource for anyone who wishes to alleviate the burden on their loved ones during a challenging time.
