Governing your data is a hot topic, but what does it mean in plain terms? It’s about aligning business and IT to stop science projects that don’t deliver business value. It's about showing organizations how changes to one data source might impact critical executive reports or analytical models. It's about defining business terms like “customer” or “profit” more consistently across the organization, and creating a common vocabulary.
All of this can help organizations get control of their data, avoid regulatory fines and improve the customer experience. And don't forget – organizations that use their data as a strategic asset outperform their competitors.
How SAS can help you be more data-driven
Recent updates to our SAS Data Management portfolio– including SAS MDM, SAS Data Governance, SAS Data Management and SAS Data Quality – can help you become more data-driven as you work toward crucial business goals:
- Avoid fines with improved governance and compliance.
- Use additional data types (rich text, date, or URL) to store term attributes.
- Get a more accurate view of the customer with improved best-record generation logic from SAS MDM.
- View “point in time” snapshots of past terms and relationships to meet auditing requirements.
- Enhance customer experience with better performance and scalability.
- Support larger data volumes with improved indexing and cluster member logic.
- Boost performance with better lineage visualization.
- Expand your reach – SAS MDM now supports Microsoft SQL Server 2014.
- Improve time-to-value with streamlined enterprise integration.
- Import terms more easily using CSV files.
- Streamline integration with other applications via an updated REST API.
- Integrate more directly with business terms and lineage via URL.
Through all of our SAS Data Management offerings, a thread – or connective tissue – runs. This thread helps organizations link all of their data assets, get on the same page and create a common vocabulary. And that’s the foundation of a data-driven business. The thread includes several SAS Data Governance components:
- SAS Business Data Network, which provides a business glossary to capture technical and business metadata.
- SAS Lineage, which helps you visualize and store relationships between data assets from both SAS and third-party offerings.
- SAS Remediation, which can identify and resolve data issues using workflow for improved data quality.
Once your organization prioritizes all of its IT projects, aligns them with business objectives and consolidates redundant data processes, IT agility will improve and help you keep pace with the demands of the business. And as you start to routinely put data at the core of all you do – and create a culture of experimentation – you'll find you have a data-driven business that's positioned to compete much more effectively.
Ready to learn more?
To see how SAS Data Management helps solve real-world data challenges, download this white paper – Data Management in Action: Solving Real World Challenges.
To get more technical details, read this paper written by Nancy Rausch: What’s New in SAS Data Management.