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Webinar sob demanda

Business Outcome Simulation for Supply Chains & Manufacturing

Putting Decisions into Action with "What-If" Analysis

Webinar sob demanda

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.

Participe do nosso webinar para saber por que a simulação de resultados de negóciso (BOS, Business Outcome Simulation) – a capacidade de comparar e analisar vários cenários possíveis – é fundamental para colocar em prática as decisões de negócios. Com a tecnologia de decisão certa, é possível converter desafios comerciais aparentemente intratáveis em escolhas diretas.

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