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Webinar a pedido

Simulación de resultados comerciales para cadenas de suministro y manufactura

Putting Decisions into Action with "What-If" Analysis

Webinar a pedido

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.

Únase a nuestro webinar para aprender por qué Business Outcome Simulation (BOS), la capacidad de comparar y analizar varios escenarios posibles, es fundamental para poner en acción las decisiones de negocios. Con la tecnología para la toma de decisiones adecuada, es posible convertir los desafíos de negocios prácticamente inmanejables en opciones claras.

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