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Nicolas

Data-Driven Sales and Operations Planning

Development of a Design Method for Integrating Business Analytics

Medium: Buch
ISBN: 978-3-8325-5797-3
Verlag: Logos
Erscheinungstermin: 12.05.2025
Lieferfrist: bis zu 10 Tage

In today’s globalized business environment, marked by growing market uncertainties and increasing supply chain complexity, Sales and Operations Planning (S&OP) has emerged as a critical practice to balance demand and supply. As industries evolve in volatile and competitive landscapes, the rapid advancements of business analytics and its integration into S&OP gains prominence; they offer promising avenues to leverage data-driven insights that enable agile decision-making and swift adaptation to market fluctuations. Yet, despite its widespread adoption, the integration of business analytics into S&OP remains insufficiently understood, exposing a gap between theory and practical application.

This thesis explores the gap at the intersection of S&OP and business analytics. It highlights the potential of integrating business analytics capabilities into S&OP frameworks through a socio-technical approach that addresses both technological and organizational challenges. It provides a comprehensive S&OP taxonomy, a performance framework, and a dedicated Business Analytics–S&OP Framework, culminating in a systematic method for designing and implementing a data-driven S&OP process that aligns capabilities, business objectives, processes, and analytics applications. Demonstrated through a series of case studies, these findings offer actionable insights for transforming supply chain management in today’s dynamic market.


Produkteigenschaften


  • Artikelnummer: 9783832557973
  • Medium: Buch
  • ISBN: 978-3-8325-5797-3
  • Verlag: Logos
  • Erscheinungstermin: 12.05.2025
  • Sprache(n): Englisch
  • Auflage: Erscheinungsjahr 2025
  • Serie: Advances in Information Systems and Management Science
  • Produktform: Kartoniert, PB
  • Seiten: 388
  • Format (B x H): 170 x 240 mm
  • Ausgabetyp: Kein, Unbekannt
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