SAS® Data Governance
Maintain a single, consistent set of policies and processes for managing data
SAS Data Governance provides the foundation and enabling technology for a complete data governance program. Business users can easily develop and refine all-encompassing business rules based on agreed-upon terms and policies. At the same time, SAS Data Governance enables IT departments to implement those rules and policies within their infrastructures, helping organizations create data that is accurate and fit-for-purpose.
Benefits
- Provide unified, trusted data for use in all SAS solutions.
- Improve profitability by better identifying high-value customers.
- Increase efficiency by managing spending across departments and divisions.
- Reduce risk by automating compliance management.
Features
- Enterprisewide data governance
- Web-based data governance/data stewardship console
- Business rule validation
- Business data glossary
- Relationship discovery
- Outlier detection
- Data validation
How SAS® Is Different
- SAS domain experts and professional services enable faster implementations. Organizations working with SAS have an end-to-end solution for data governance. Much of what makes up a successful data governance program is having the proper roles, responsibilities and executive sponsors in place. With the guidance of SAS, customers can take that framework and apply SAS Data Governance as the enabling technology to maintain a single, consistent set of policies and processes for managing organizational data.
- SAS Data Governance components are developed natively and are tightly integrated. With built-in, tight integration among SAS Data Governance components, both business users and IT will be able to work more efficiently with higher accuracy and less complexity.
- Complements SAS Analytics. With a seamless tie-in to SAS Analytics, SAS Data Governance establishes proactive and managed control of all corporate data and ensures that any analytics and trend reporting is based off correct and standardized data.
Benefits
- Provide unified, trusted data for use in all SAS solutions. SAS Data Governance ensures high-quality data that serves as the foundation for SAS Business Analytics, such as SAS Customer Intelligence, SAS Fraud Management, SAS Risk Management and others.
- Improve profitability by better identifying high-value customers. Having a consolidated view of customers provides the ability to optimize all customer interactions, including sales opportunities, customer support, billing and more.
- Increase efficiency by managing spending across departments and divisions. Data managed through SAS Data Governance enables organizations to view spending patterns with key vendors. This can help detect purchases that might be out of compliance and determine when purchase consolidation might be necessary.
- Reduce risk by automating compliance management. Unified and consistent reference data is necessary to meet risk objectives. SAS provides governance capabilities needed for compliance, including validation and integrity controls, as well as robust audit trails and lineage information.
Features
- Enterprisewide data governance
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- Supports the consistent maintenance and use of data attributes through a common data model and centralized data maintenance and access processes.
- Data profiling and business rule monitoring ensure ongoing conformance with rules and quality.
- Web-based data governance/data stewardship console
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- Entity search and display.
- Create, add, modify and retire entities and hierarchies.
- Data masking for managing access to attribute content by role, allowing only authorized individuals to view sensitive attribute content.
- Metadata management for entities, attributes and transformations.
- Dynamic or batch reporting capabilities let you view critical metrics, track progress of data initiatives and gain insights into your data.
- Business rule validation
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- Ensure data meets organizational standards for data quality and business processes.
- Identify, profile and validate reference data from any source system.
- Validate data against standard statistical measures as well as customized business rules.
- Create and manage business rules across processes.
- Maintain and manage history and data change management in a single interface.
- Business data glossary
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- Create and manage a glossary of business terms using a Web-based interface.
- Graphically explore business terms and categories.
- View relationships across elements.
- Use audit trails to know which data was changed and who changed it.
- Store and apply definitions to guide all data management processes.
- Reuse, manage and report on the use of a single glossary.
- Safeguard sensitive or protected information through read-only access to glossary content data.
- Relationship discovery
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- Uncover relationships across tables and databases – and across different source applications.
- Discover and validate data patterns and formats.
- View relationships across data elements.
- Outlier detection
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- Detect data that falls outside predetermined limits and gain insight into source data integrity.
- Intuitive interface for building customizable business rules to find data that does not comply with established standards.
- Establish alerts to signal when data is out of compliance with established policies.
- Data validation
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- Design and enforce rules to determine if data is maintained within proper control limits and meets predefined business rules.
- Create data alerts and controls to verify that data remains in compliance with internal and external data policies.
- Develop customized business rules to validate and audit operational processes.
- Enable enterprise governance, risk and compliance monitoring.
- Validate numeric calculations.
- Detect unexpected variance.
- Test domain values against a list of acceptable values.
- Validate data in other systems before allowing a transaction to continue.
- Deploy data rules monitoring as a batch or real-time process.
- Detect when data meets preset limits.
- Recognize and correct problematic data before it enters your systems.
Screenshots
Business data network
The business data network allows users to collaborate on the creation of business terms, establish links to the term in a hierarchy of reference data and examine related data elements.
Reference data manager
The reference data manager offers a Web-based interface that can be used across departments and lines of business to store and manage different types of hierarchies.
Data monitoring environment
SAS Data Governance provides the design, development and monitoring environment for proactive data governance, so you can design and enforce rules to determine if data is maintained within proper control limits and meets predefined business rules.
System Requirements
For information on configurations and system requirements, please contact your local SAS sales representative.Ready to learn more?
Call us at 1-800-727-0025 (US and Canada) or request more information.
