What can SAS data management
offerings do to help bring order to this chaos?
Software from SAS comes
in offerings, which provide specific functions to help specific groups
of users. These offerings generally include SAS/ACCESS interfaces
that enable data architects and administrators to efficiently load
data from a variety of sources including relational databases, personal
computer files, and Hadoop.
The Data Management
Advanced offering also includes integration and data quality tools
such SAS Data Integration Studio and DataFlux Data Management Studio
that aid administrators and architects in cleansing data and organizing
it for better performance.
SAS data governance
applications such as SAS Lineage and SAS Business Data Network helps
business users and managers see and understand data more clearly.
A good way to understand
how to use the SAS data management applications is to look at them
as tools using the SAS Data Management methodology. This methodology
divides your data management engagement into planning, action, and
monitoring stages. The following stages are included:
The SAS Data Management
methodology is a step-by-step process for performing data management
tasks such as data quality, data integration, data migrations, and
master data management. Within this methodology, the Plan stage contains
Define and Discover phases. Similarly, the Act stage includes Design
and Execute phases, and the Monitor stage contains Evaluate and Control
phases.
Your organization benefits
when it plans, takes action on, and monitors data management projects.
This methodology helps you build the foundation to optimize revenue,
control costs, and mitigate risks. Moreover, all of these stages interact.
For example, you can revisit your initial plans and operational designs
when you evaluate your progress in the Monitoring stage.
The remainder of this
introduction shows how the Groceryrama and GreenVillage staff use
the SAS data management applications to work together through a data
management project.