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Process Mining als integrativer Analyseansatz für Geschäftsprozesse

In: Smart Banking

Author

Listed:
  • Argjent Demiri

    (Duale Hochschule Baden-Württemberg (DHBW) Heilbronn, BWL-Dienstleistungsmanagement, Consulting & Sales)

  • Philipp Neuheisel

    (Accenture GmbH, Accenture Technology – Aerospace & Defense; H&PS)

  • Alina Noll

    (Synalis GmbH und Co. KG, Business Applications Enterprise Ressource Planning & BI)

  • Felix Bauer

    (Kreissparkasse Tübingen, Unternehmenskunden)

Abstract

Zusammenfassung In der dynamischen Welt der Finanzdienstleistungsbranche, in der Effizienz und Kundenzufriedenheit als zentrale Erfolgsfaktoren gelten, hat sich Process Mining als zentrales Instrument etabliert, das den Schnittpunkt von Data Science und Prozessmanagement widerspiegelt (vgl. [1], S. 25). Der Ansatz umfasst Techniken, Werkzeuge und Methoden zur systematischen Analyse von Ereignisdaten, um detaillierte Einblicke in die tatsächliche Ausführung von Prozessen zu gewinnen. Die daraus gewonnenen Erkenntnisse ermöglichen die Identifikation von Optimierungspotenzialen und bilden damit den Kernnutzen von Process Mining (vgl. [1], S. 25).

Suggested Citation

  • Argjent Demiri & Philipp Neuheisel & Alina Noll & Felix Bauer, 2026. "Process Mining als integrativer Analyseansatz für Geschäftsprozesse," Springer Books, in: Argjent Demiri (ed.), Smart Banking, chapter 6, pages 107-122, Springer.
    • Handle: RePEc:spr:sprchp:978-3-658-50439-7_6
    DOI: 10.1007/978-3-658-50439-7_6
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