A viewer is useful under the following
conditions:
Publishing to the E-mail Transport
You want to publish
a package that contains a data set, for delivery to consumers who
use a view-only transport (such as e-mail). Because a SAS data set
is not viewable in e-mail, an HTML or text viewer is needed to format
the SAS data for a view-only presentation.
Publishing to Channel Subscribers
If you are publishing
to a channel, the transports that are used by subscribers are unknown
to you. Therefore, you might decide to format the entire package with
the aid of a viewer to ensure maximum viewability for the broadest
consumer audience. The viewer is applied to a package that is published
to subscribers who use e-mail delivery, WebDAV subscribers, or channels
that have a WebDAV persistent store. The viewer is not applied to
a package that is published to subscribers who specify delivery to
message queues.
Extracting and Formatting SAS Data
With a viewer, you
can extract specific package items and variables from a SAS data set
entry and distribute to subscribers who use e-mail. Subscribers who
use e-mail receive the package entries that the viewer extracts and
formats. Subscribers who use queues receive the full package.
Formatting an Entire Package
Besides formatting
a SAS data set package entry, you can also use a viewer to format
other entries in the package (such as another HTML file, a text file,
a binary file, or a reference) as input streams. Applying a viewer
to the entire package provides a comprehensive presentation for viewing
purposes only.
Publishing an Electronic Newsletter
A popular form of package
output is an electronic newsletter. The basic template that imposes
the look and feel of the document can contain static text or HTML
coding. However, you can code the dynamic information (in the form
of news articles or SAS data) as links to Web sites whose source data
is continuously refreshed.
Publishing an Executive Level Summary
Delivery of SAS result
sets and other text and graphical information via e-mail has the greatest
value for an executive level consumer. The executive might have a
requirement to view the data (for example, in the form of summary
tables) and to read text but might not necessarily need access to
the raw data for continued processing, extraction, and delivery throughout
the enterprise.