The Digital Journey of Banking and Insurance, Volume III
Springer International Publishing (Verlag)
978-3-030-78820-9 (ISBN)
This book, the third one of three volumes, focuses on data and the actions around data, like storage and processing. The angle shifts over the volumes from a business-driven approach in "Disruption and DNA" to a strong technical focus in "Data Storage, Processing and Analysis", leaving "Digitalization and Machine Learning Applications" with the business and technical aspects in-between. In the last volume of the series, "Data Storage, Processing and Analysis", the shifts in the way we deal with data are addressed.
lt;p>Volker Liermann, a Partner at ifb group, brings twenty years of experience in financial risk management. His focus has additionally been on integrated stress testing and liquidity risk management as it impacts asset liability management and profitability. In recent years, he added digital transformation and machine learning to his subjects of expertise. Volker is leading the global business development at ifb. He has an economics background and has a degree in mathematics from the University of Bonn, Germany.
Claus Stegmann, a Partner at ifb group and Member of the Executive Board, acquired extensive know-how during the last two decades in topics like SAP Bank Analyzer, risk management for banks, accounting, regulatory and compliance (Basel III, CRR/CRD IV, Solvency II), and in the management of complex projects in the financial industry. He also co-authored books on stress tests in banks and Basel III. He has an academic background as Diplom-Kaufmann (business school graduate) from the University of Passau, Germany.
Part I. Big Data and Special Databases.- Chapter 1. Data Lineage.- Chapter 2. Digitization and MongoDB - The Art of Possible.- Chapter 3. Graph Databases.- Chapter 4. Data Tiering Options with SAP HANA and Usage in a Hadoop Scenario.- Part II. Streaming.- Chapter 5. Kafka - Real-Time Streaming for the Finance Industry.- Chapter 6. Architecture Patterns - Batch & Real-Time Capabilities.- Chapter 7. Kafka - A Practical Implementation of Intraday Liquidity Risk Management.- Part III. Data: A View on Meta Aspects.- Chapter 8. Data Sustainability - A Thorough Consideration.- Chapter 9. Special Data for Insurance Companies.- Chapter 10. Data Protection - Putting the Brakes on Digitalization Processes? - Part IV. Distributed Ledger.- Chapter 11. Digital Identity Management - for Humans Only? - Part V. Machine Learning and Deep Learning.- Chapter 12. Overview Machine Learning and Deep Learning Frameworks.- Chapter 13. Methods of Machine Learning.- Part VI. Summary.
| Erscheinungsdatum | 29.10.2021 |
|---|---|
| Zusatzinfo | XXXI, 256 p. 96 illus., 91 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 554 g |
| Themenwelt | Wirtschaft ► Betriebswirtschaft / Management ► Finanzierung |
| Schlagworte | Big Data • data infrastructures • Digitalization Strategy • Distributed Ledger • FinTech • Intraday Liquidity Risk Management • Special Data for Insurance Companies |
| ISBN-10 | 3-030-78820-2 / 3030788202 |
| ISBN-13 | 978-3-030-78820-9 / 9783030788209 |
| Zustand | Neuware |
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