Data access, preparation and centralized management of SAS data assets
• Map physical data structures to business terms in an easy-to-use interface.
• Access data from virtually any data source, including multiple sources at once.
• Define consistent business views of nonrelational and relational data.
• Create one business view over disparate database management systems for a
combined set of query attributes.
• Combine data from multiple sources.
• Control the size of result sets that can be returned to avoid long-running queries.
• Capture consistent business rules and specify allowable options and prompts for
users.
• Create and manage repositories and prompts (including cascading prompts that use
dynamically generated value lists), define access controls, and register and manage
users and groups through a single interface.
Guided analysis
• Enable power users, programmers and analysts to perform more advanced types
of analyses using .NET-based native Windows applications.
• An enhanced user interface includes context-sensitive menus, toolbars and
role-based user definitions.
• Includes a large number of prebuilt tasks and task templates for a variety of topics.
• Create complex conditional processing faster with wizard-driven conditional flow
logic capabilities.
• Enhance programmer productivity with program editor features, such as
autocomplete and integrated syntax.
• Improve the eciency of query-building processes with computed columns
creation, filtering options and the ability to preview results.
• Easily incorporate geospatial data into analyses.
• Query and subset data graphically from any accessible source or write SQL/MDX.
• Package results into SAS Stored Processes for use in all SAS BI interfaces and
Microsoft Oce to gain access to anything SAS can do, allowing work to be
distributed without IT involvement while maintaining security.
• Use the SAS DATA step debugger in SAS Enterprise Guide to set breakpoints in your
code or watch for changes in the values of your variables.
• Control the debugger using toolbars, windows or the command line.
• View all errors, warnings and notes generated, as well as related line numbers and
a sample of the aected code, in a log summary window.
• Identify potential internationalization issues in SAS programs and get substitution
suggestions.
• Add notes to a process flow or to specific objects in the process flow.
• Includes an .msi installer and application streaming support.
Microsoft Oce integration
• Access SAS capabilities for data access, reporting and analytics directly from
Microsoft Oce tools, including Word, Excel, PowerPoint and Outlook.
• Create wizard-driven reports within Microsoft Oce tools.
• View previously created results oine.
• Use Microsoft Excel as an application instead of an ad hoc data store.
• Access data from any centrally IT-defined enterprise data source and perform a write
back to source data using Microsoft Excel.
• Refresh data at the click of a button from any central, IT-defined enterprise data source.
Key Features
Powerful SAS® Analytics
SAS oers the most powerful and extensive
set of analytics available. SAS Oce
Analytics provides a wide range of descrip-
tive and predictive statistical methods – from
traditional analysis of variance to dynamic
visualization techniques.
Using statistical software can help you
uncover new information for improving
processes, driving development and
revenues, and retaining valued and satisfied
customers.
Graphics and reporting
Almost everyone has some familiarity with
Microsoft Oce applications. With SAS
Oce Analytics, employees can now use
those familiar applications for viewing
analytical results, interacting with reports
and collaborating with colleagues in a more
meaningful way.
SAS Oce Analytics lets you easily create
reports and share findings. You can publish
and distribute Microsoft Oce documents
with embedded SAS Analytics to relevant
decision makers using native Microsoft func-
tionality. Recipients can update the
embedded results from the Microsoft Oce
documents on demand, as needed.
As more people have access to data and
analytics, it’s important to tell a meaningful
story with data. These conversations are
critical for understanding, interpretation and
alignment.
Seamless integration between SAS Oce
Analytics and SAS Visual Analytics enables
you to include data visualizations or reports
from this powerful data visualization
software within your Microsoft Oce apps.
That means users can view and comment on
dynamic reports sent to their Outlook
mailbox. And all comments are kept with the
report, so there’s no need to consolidate
comments later.