Before you begin a project,
you must plan your project resources. Here is a list of questions
to consider and conditions to meet for a modeling project:
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After you know which users are
assigned to a project, a SAS Model Manager administrator must ensure
that the user is assigned to the appropriate SAS Model Manager user
group and role. For more information,
see SAS Model Manager User Groups, Roles, and Tasks and the
SAS Model Manager: Administrator's Guide.
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How do you want to structure your
project in the Project Tree? A project is a subfolder of an organizational
folder. The Project Tree enables multiple levels of organizational
folders so that you can customize how you structure the Project Tree.
For example, your Project Tree could be similar to your business departmental
hierarchy or it could list individual project names. For more information,
see Organizing the Project Tree.
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What models do you want to use
in the project? If the models were created using SAS Enterprise Miner,
all model components are available to SAS Model Manager when you import
the model. If your model is a SAS code model or a model created by
third-party software such as R, you must ensure that you have imported
all of the model component files. For more information,
see Import SAS Code Models and R Models Using Local Files.
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How do
you want to define your project input and output variables? When you
create a project, you can import the variables using input and output
prototype tables, you can copy the variables from an existing champion
model, or you can define individual variables. If you use prototype
tables to define the project input and output variables, the tables
must be registered in the SAS Metadata Repository using SAS Management
Console before you create the project. For more information,
see About Defining Project Input and Output Variables.
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What method do you want to use
to track the progress of a project or version? The Workflow Console
enables you to track the progress of activities from the project level
or a version level. A SAS Model Manager administrator can create and
associate a workflow instance with a project or version. You can also
use the life cycle feature to track the life cycle of a model at the
version level.
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If you decide to use the workflow
process to track the progress of activities for a project or version,
you do not need to use the life cycle feature to monitor the progress
of milestones and tasks.
For more information,
see Overview of Workflow Console.
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If you decide to use the life cycle
feature to monitor the progress of your project or version, you must
plan your milestones and the tasks for each milestone before you can
create a version for a project. When you have that information, you
then create a life cycle template. The life cycle template enables
you to assign users to complete projects and to monitor the progress
of your project. For more information,
see Creating Life Cycle Templates.
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You might have project documents
that you would like to access from SAS Model Manager. SAS Model Manager
enables you to attach documents to organizational folders or to a
version
Documents folder in the Project Tree.
You can view these documents in SAS Model Manager only. For more information,
see Associate Documents with a Folder.
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SAS Model Manager provides several
reports that you can use to help you to assess candidate models. You
can review the types of reports that are available and plan for which
reports you want to use. Your plans might also include a custom report
that you can run in SAS Model Manager. For more information,
see Validating Models Using Comparison Reports and
Validating Models Using User Reports.
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When you export a project champion
model to the SAS Metadata Repository, you must specify a folder to
where you export the project champion model. You might need to create
a folder in the SAS Metadata Repository, if one does not already exist.
For more information,
see Exporting Models.
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After your champion model is in
a production environment, you can monitor the performance of the model
in SAS Model Manager using your organization's operational data. If
you use SAS Model Manager to define and execute performance tasks,
you must first prepare performance tables using the operational data
and add them as a SAS Model Manager performance data source. For more
information,
see Creating a Performance Table.
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When you run performance monitoring
reports, you can set up performance index alert and warning conditions
to notify users if conditions exceed the indexes. For more information,
see Performance Index Warnings and Alerts.