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Business Outcome Simulation for Supply Chains & Manufacturing

Putting Decisions into Action with "What-If" Analysis


When it comes to making simple, everyday decisions, our brains will naturally analyze a multitude of scenarios and make rapid tradeoffs. This reflexive thought process-based upon our experiences and the information at hand-is usually enough to quickly guide us to the correct next action: "Here's what I know, so here's what I should do."

Unfortunately, most business decisions aren't that simple, especially in the field of supply chain management. And while nearly every mid- to large-sized company has invested in data and analytics, very few are sure of what they know, let alone what they should do.

Nehmen Sie an unserem Webinar teil und lernen Sie, warum die Simulation von Unternehmensergebnissen (Business Outcome Simulation, BOS) – die Fähigkeit, verschiedene mögliche Szenarien miteinander zu vergleichen und zu analysieren – für die Umsetzung von Geschäftsentscheidungen von maßgeblicher Bedeutung ist. Mit der richtigen Entscheidungstechnologie lassen sich unlösbare geschäftliche Herausforderungen in eindeutige Auswahlmöglichkeiten verwandeln.

What you’ll learn:

  • How to reduce decision complexity by enabling business and technical users to run what-if analyses and quickly compare multiple possible scenarios.
  • How to protect and maximize your current investments in data science and prescriptive analytics by ensuring applications are deployed.
  • Why this combination—empowered end-users and rapidly deployable business applications—are so critical to unlocking the fastest possible ROI.>

What you’ll see:

  • Real-world examples of BOS in action in a variety of applications, including:
  • Supply Chain Management: How to easily weigh the tradeoffs between enforcing business rules vs. total costs
  • Manufacturing: How to schedule production that accounts for competing objectives>
  • Transportation: How to optimize package delivery

Who will benefit:

  • Anyone responsible for supporting and making logistical decisions, including:
  • Line-of-business leaders and managers
  • OR developers
  • Data scientists
  • Business analysts / everyday users