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274926797
Data Analytics im Risikomanagement: Descriptive Analytics - Diagnostic Analytics - Predictive Analytics (Business and Economics (German Language))
Item #:
274926797
SAR 274
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Product Details
- Das Buch bietet einen umfassenden Überblick über Data Analytics im Risikomanagement in Unternehmen. Die fortschreitende Digitalisierung bringt eine wachsende Menge von Daten hervor. Data Analytics beschäftigt sich mit den Methoden zur Analyse dieser Daten und umfasst neben statistischen Modellen auch das Maschinelle Lernen. Unternehmen, die die methodischen Grundlagen von Data Analytics verstehen und anwenden, können nicht nur im Risikomanagement Daten wertschöpfend nutzen, sondern auf Basis einer verbesserten Analyse und Prognose fundierte unternehmerische Entscheidungen treffen. In einem durch den Einsatz von Artificial Intelligence (AI) geprägten Unternehmensumfeld stellt dies einen erheblichen Wettbewerbsvorteil dar.Neben einer allgemeinen Einführung in Data Analytics erläutern die Autoren fundiert die Methoden der deskriptiven, diagnostischen sowie prädiktiven Datenanalyse. Basierend auf einem fiktiven Unternehmen werden Anwendungsbeispiele aus der Praxis des Risikomanagements beschrieben. Die Beispiele werden als Sourcecode in der Programmiersprache R für eine praktische Umsetzung zum Download bereitgestellt.
| Publisher | Springer Gabler |
| Publication date | February 2, 2026 |
| Language | German |
| File size | 41.1 MB |
| Enhanced typesetting | Enabled |
| X-Ray | Not Enabled |
| Word Wise | Not Enabled |
| Print length | 524 pages |
| ISBN-13 | 978-3658488437 |
| Page Flip | Enabled |
| Item Weight | 1 lbs (450 grams) |
Product Description
Data Analytics im Risikomanagement: Descriptive Analytics - Diagnostic Analytics - Predictive Analytics (Business and Economics (German Language)) (German Edition)
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Features & Benefits
- Comprehensive overview of Data Analytics in Risk Management.
- Focuses on descriptive, diagnostic, and predictive analytics methods.
- Designed for businesses to utilize data effectively in risk management.
- Includes practical examples based on a fictional company.
- Source code available for practical implementation in R.
- A significant competitive advantage in an AI-driven business environment.
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