It takes into account specific scenarios, resources, and knowledge of past and current events. Prescriptive analytics (decision optimization) technology recommends actions that are based on desired outcomes. Step 5: Investigate the solution and run an example analysis.
How decision optimization (prescriptive analytics) can help.It requires either an installation of CPLEX Optimizers or it can be run on IBM Watson Studio Cloud (Sign up for a free IBM Cloud accountĪnd you can start using Watson Studio Cloud right away). This notebook is part of Prescriptive Analytics for Python When you finish this tutorial, you'll have a foundational knowledge of Prescriptive Analytics. This tutorial includes everything you need to set up IBM Decision Optimization CPLEX Modeling for Python (DOcplex), build a Mathematical Programming model, and get its solution by solving the model on the cloud with IBM ILOG CPLEX Optimizer.
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