IBM Decision Optimization Center

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An optimization platform to create, deploy and maintain fully scalable decision support solutions. Quickly, easily, efficiently.

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Optimization Server


Seamlessly run multiple CPU intensive computational jobs locally or remotely and provides administrative tools to easily monitor and manage them.

  • Predefined Web Console
  • Monitor and replay execution capabilities
  • Flexible deployment, local or on the cloud
  • Failover capabilities

LEARN MORE DATASHEET

  • Optimization Server

    Seamlessly run multiple CPU intensive computational jobs locally or remotely and provides administrative tools to easily monitor and manage them.


    LEARN MORE

    DATASHEET

  • Scenario Service

    This service manages a hierarchy of scenarios organized into workspaces and folders. It provides an API to easily manage creating, renaming, duplicating and deleting workspaces, folders and scenarios.

  • Data Service

    This service manages data in a relational database, indexed by scenarios. It provides an API to:

    • Get a description of the database parameters
    • Create /Read/ Update/ Delete rows
    • Map data with in-memory representation
  • Web Frontend Service

    Predefined Web User Interface that can be configured and/or
    customized, with the possibility to fully replace it if needed.


Architecture



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Modular and Scalable Architecture Based on State of the Art Technology

 
READY-TO-USE-SERVICES

 
AVAILABLE TEMPLATES

 
CUSTOMIZABLE

DATABASES

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Decision Optimization Center Datasheet

Learn about the DOC by downloading the datasheet today
PDF


Use Cases

OR & DATA EXPERTS
DEVELOPERS
IT & DEPLOYMENT
PROJECT LEADERS

OR Experts and Data Scientists


Focus on modeling competencies, rather than on IT complexities.

  • Prototyping: launch a new app and run it on a laptop in minutes.
  • Monitoring: monitor KPIs for deployed applications, replay executions.

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Development Teams


Benefit from open/modern technologies for scalability, extensibility and robustness.

  • Developing and Testing: unsynchronized development and parallel testing thanks to a clear separation of projects.
  • Deployment: local (Docker-compose) or industrial (Kubernetes/ OpenShift).

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IT & Deployment Teams


Build robust, easy to deploy/maintain applications.

  • Deployment: local or industrial, on the cloud or on premise, thanks to Docker-compose, Kubernetes and OpenShift.
  • Maintenance and Evolutions: fail-over and replay execution capabilities.

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Innovation Directors, Analytics Leaders & Project Managers


Standardize development and deployment practices improving teams’ efficiency.

  • Contribute: continuous feedback from business users during application development.
  • Collaboration: among data scientists, optimization experts, IT and deployment teams.

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