About this demo

Predict and optimize yield in manufacturing processes with advanced analytics

Increasing yield is one of the critical issues in process manufacturing. Advanced analytics gives you powerful tools to work with data and build models to predict and optimize yield.

Models are useless if they are not taken into action. Connecting IT and Analytics departments is key to successful cooperation in deployment.

In the demo you can see how to go from development to deployment of models using our analytics lifecycle path to make sure every step and action needed is taken care of.

This demo (10 minutes) shows you how to:

• Prepare, explore and visualize data
  • Prepare data: prepare data in a structured way
    
  • Explore and visualize: A drag and drop environment to easily explore your data and build dashboards and create an overview of the factors impacting the prediction of the target
• Build prediction models
  • Build your analytical models in a drag and drop interface and finetune the hyperparameters
  • Possibility to create an open source model (R or Python) in this SAS interface
• Optimization
  • Not only predict but also optimize your target
  • Build a graphic layer on top of the optimization program to make it accessible for non-SAS programmers.
• Manage models
  • Use of the SAS model repository to get an overview of your different models
  • Upload open source models in this repository
  • Compare different models and select a champion and challenger model
  • Evaluate models over time
• Link your models to business rules and deploy them
  • Define business rules
  • Deploy your model and business rules