SAS IT Resource Management supports adapters for many
of the most popular network system and application management tools
across the Windows, UNIX, and
z/OS operating environments. It also
provides the tooling for the creation of user-written adapters for
any data source that is not natively supported by the solution. In
doing so, it takes advantage of SAS
®9
and the enterprise-class solutions that SAS 9 provides, such as:
-
SAS Data Integration
Studio
This solution provides
flexible data integration and specific IT Resource Management services
for most data sources. These services perform most of the data preparation
and aggregation work that is needed to analyze and report on resource
performance. These services enable you to perform the following tasks:
-
Create and maintain the IT data
marts that are the containers for the staging, aggregation, information
map, and report jobs as well as the staged tables and libraries, the
aggregation tables and libraries, and the information maps that are
created by or used by SAS IT Resource Management.
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Create, maintain, and deploy the
jobs that populate the IT data mart.
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Calculate new columns and statistics,
percentiles, percent changes, and so on from the input data.
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Create and run the jobs that aggregate
the data.
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Create analysis and report-ready
data sources from the aggregated data.
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Create and run jobs that produce
IT intelligence reports.
-
This solution provides
comprehensive reporting definition services. Report tasks can be run
interactively in SAS Enterprise Guide projects by running the branches
of a project that include those report tasks.
Each SAS Enterprise
Guide project that SAS IT Resource Management supplies includes one
or more ITRM Gallery tasks. ITRM Gallery tasks publish the report
definitions to the SAS Metadata Server so that the SAS IT Resource
Management client can include that report definition in a report job.
Those jobs are then deployed and scheduled for execution in batch
mode. The resulting report output can be accessed by the Gallery
Manager web application.
-
This Web-based application
manages and organizes report output that is stored on the SAS Content
Server. Filters are available to use in organizing the report output.
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SAS Business
Intelligence Platform
This platform uses
the SAS Foundation technology, which includes the following software:
Base SAS,
SAS/GRAPH, the Output Delivery System (ODS), and other
technologies. It also uses the following components:
-
SAS Information Map
Studio: This product provides easy access to data using business-oriented
terminology. Information maps that are created by the information
map transformation in the SAS IT Resource Management client can be
read and modified by SAS Information Map Studio.
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SAS Metadata Repository:
This repository of centralized metadata stores information about the
objects that are created and used by SAS IT Resource Management, such
as IT data marts, ETL jobs, information maps, report tasks, report
jobs, and more.
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SAS Web Report Studio: This
Web-based, interactive query and analysis tool simplifies and standardizes
access to and reporting of performance information.
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SAS Information
Delivery Portal: This customizable portal provides corporate decision
makers with easy access to the data that is most pertinent to them
by means of reports and dashboards, such as key performance indicators
(KPIs), filter reports, and more. SAS Information Delivery Portal
enables the selective and secure dissemination of information throughout
an organization.
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The BI Dashboard is a Web-based
interface that displays within SAS Information Delivery Portal. Using
data and information maps from multiple sources, information consumers
and performance analysts users can create dashboards that display
information that is pertinent to their areas of interest.
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SAS Add-In for
Microsoft Office: This product enables integration with commonly used
Microsoft products such as Microsoft Word and Microsoft Excel.
-
SAS Statistics, High Performance Forecasting, and Econometric
Time Series: These solutions provide a complete set of SAS statistical
methods for IT data analysis.
For more information,
see Chapter 1, "General Overview" of
SAS IT Resource Management:
Administrator's Guide.