A Primer on Business Analytics
Perspectives from the Financial Services Industry
Seiten
2022
Information Age Publishing (Verlag)
978-1-64802-818-2 (ISBN)
Information Age Publishing (Verlag)
978-1-64802-818-2 (ISBN)
This book offers a comprehensive overview of business analytics for both technical and business backgrounds. It covers the field in the context of the 4th Industrial Revolution, focusing on financial institutions and data science techniques. It also discusses building data-driven teams, executive buy-in, and project ROI.
This book will provide a comprehensive overview of business analytics, for those who have either a technical background (quantitative methods) or a practitioner business background. Business analytics, in the context of the 4th Industrial Revolution, is the “new normal” for businesses that operate in this digital age. This book provides a comprehensive primer and overview of the field (and related fields such as Business Intelligence and Data Science). It will discuss the field as it applies to financial institutions, with some minor departures to other industries. Readers will gain understanding and insight into the field of data science, including traditional as well as emerging techniques. Further, many chapters are dedicated to the establishment of a data-driven team – from executive buy-in and corporate governance to managing and quantifying the return of data-driven projects.
This book will provide a comprehensive overview of business analytics, for those who have either a technical background (quantitative methods) or a practitioner business background. Business analytics, in the context of the 4th Industrial Revolution, is the “new normal” for businesses that operate in this digital age. This book provides a comprehensive primer and overview of the field (and related fields such as Business Intelligence and Data Science). It will discuss the field as it applies to financial institutions, with some minor departures to other industries. Readers will gain understanding and insight into the field of data science, including traditional as well as emerging techniques. Further, many chapters are dedicated to the establishment of a data-driven team – from executive buy-in and corporate governance to managing and quantifying the return of data-driven projects.
Dedication.
Acknowledgements.
Part I. Understanding Business Analytics
Chapter 1. Introduction.
Chapter 2. The Application of Business Analytics.
Chapter 3. The Human Resource Behind Business Analytics.
Part II. Techniques Used By The Data Scientist
Chapter 4. Statistical Methods Using Time Series Data.
Chapter 5. Artificial Intelligence.
Chapter 6. A Framework for Artificial Intelligence.
Chapter 7. Managing Analytical Projects.
Chapter 8. Legal, Risk and Compliance Considerations in Data Science.
Chapter 9. Fintech.
Chapter 10. The Future of Big Data.
References.
| Erscheinungsdatum | 04.02.2022 |
|---|---|
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 230 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Wirtschaft ► Betriebswirtschaft / Management ► Finanzierung | |
| ISBN-10 | 1-64802-818-7 / 1648028187 |
| ISBN-13 | 978-1-64802-818-2 / 9781648028182 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
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