DataFlux® Data Management Platform
Plan, implement and monitor business-critical data with this solution for data quality, data integration, master data management and data governance
DataFlux Data Management Platform provides a single interface for both business and IT users to manage data throughout their organization. It offers a unified development and delivery environment for analyzing, improving and controlling data. DataFlux Data Management Platform is especially well-suited for organizations not using other SAS® solutions. The interface can be used with any of the additional modules (features) listed below, enabling you to customize your data quality solution to meet your particular needs.
Benefits
- Assure users that the data they get is timely and correct.
- Better meet regulatory compliance mandates.
- Improve customer loyalty.
- Increase profit margins.
Screenshot
DataFlux Web-based technologies provide configurable dashboards to help data stewards and data analysts track the health of corporate information.
Screenshots
How SAS® Is Different
- SAS and DataFlux (a SAS company) provide options for organizations to meet their data management, data governance, data integration and data quality challenges. A variety of technologies and solutions are available for analyzing, improving and managing the entire data life cycle.
- DataFlux Data Management Platform can provide the technology backbone for data governance initiatives. With a single repository for business rules, it enforces standards for data quality throughout the enterprise.
- DataFlux Data Management Studio provides an interface for data discovery, business rule creation and execution, workflow management and other functions for the assessment, improvement and integration of data.
- Organizations can implement both batch and real-time services with the ability to use a service-oriented architecture (SOA) approach to provide flexible deployment and delivery options.
- SAS and DataFlux technologies enable you to enhance the value of your data by intelligently incorporating information. Using data from trusted sources enables you to build a more accurate real-world view of your customers and organization.
Benefits
- Assure users that the data they get is timely and correct. Data profiling and discovery are key components of the data quality technology platform, allowing business users to develop business rules to identify and correct issues and then extend these rules across the enterprise. This technology allows business users to drive data-enrichment efforts. The intuitive graphical user interface and comprehensive prebuilt data sets will help your organization see beyond the boundaries of your own data.
- Better meet regulatory compliance mandates. With the increase in regulatory oversight, data governance has become a necessary component of doing business. Maintaining high-quality data that complies with internal and external regulatory compliance requirements is essential to any data governance implementation. The intuitive user interface allows business users to easily align data against regulatory requirements or create specialized business rules to oversee your organization's compliance needs.
- Improve customer loyalty. People like having their names spelled correctly, not receiving duplicate mailings and having their account information correct and up to date, even if they deal with multiple business units in your organization. The reality most organizations face is that customer data is spread across multiple databases. To address these issues, organizations need to build a single, accurate view of enterprise data.
- Increase profit margins. Eliminate misfiled, duplicate, incorrect or incomplete information for mailings and other marketing campaigns. Accurate data helps correctly identify and target more granular market segments, enabling you to reach the right customers. Accurate data also leads to overall better decision making.
Features
- Business data network
- Create a common language for business data by delivering a single enterprise definition for business-critical terms.
- Reference data manager
- Build and manage relationships and hierarchies across data elements.
- Dashboards and monitoring
- Determine the health of your data – and your organization – with valuable feedback from your data management program.
- Metadata analysis
- Extract, organize and analyze metadata from anywhere in your enterprise.
- Data profiling
- Examine the structure, completeness and suitability of your information assets.
- Data quality
- Improve the quality of your enterprise information.
- Data monitoring
- Enforce business rules for quality and build a foundation for ongoing data governance.
- Data enrichment
- Transform incomplete data into usable, standardized information.
- Entity resolution
- Match data and identify potential data relationships across sources.
Screenshots
DataFlux Web-based technologies provide configurable dashboards to help data stewards and data analysts track the health of corporate information.
Reference Data Manager shows the relationships of business terms to other elements in the hierarchy from a Web-based interface.
DataFlux 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.
System Requirements
Client environment for DataFlux® Data Management Studio
- Windows (x86-32): Windows XP Professional, Windows Server 2003 family, Windows Server 2008 family, Windows Vista*, Windows 7 family
- Windows (x64): Windows XP Professional, Windows Server 2003 family, Windows Server 2008 family, Windows Vista*, Windows 7 family
Server environment for DataFlux® Integration Server and DataFlux® Enterprise Integration Server
- AIX: Version 5.3, 6.1, and 7.1 on POWER architectures
- HP-UX Itanium: HP-UX 11iv2 (11.23), 11iv3 (11.31)
- HP-UX PA-RISC: HP-UX 11iv2 (11.23), 11iv3 (11.31)
- Linux for x86 (x86-32): RHEL 4, SuSE SLES 9**
- Linux for x64 (EM64T/AMD64): RHEL 4 and 5, SuSE SLES 9, 10 and 11 **
- Microsoft Windows (x86-32): Windows Server 2003, Windows Server 2008
- Microsoft Windows on x64 (Intel EM64T/AMD64): Windows Server 2003, Windows Server 2008
- Solaris on SPARC: Version 9, 10
- Solaris on x64: Version 10
* NOTE: Windows Vista Editions that are supported include Enterprise, Business and Ultimate.
** DataFlux Data Management Studio supports any distribution of Linux that meets the minimum requirements for kernel and glibc versions mentioned above. Following is a list of some of the more popular distributions that meet these requirements: Red Hat Enterprise Linux 3.0 and higher, Novell SuSE 9 and higher, Red Hat Fedora 7 and higher and Canonical Ubuntu 6.06 and higher.
Ready to learn more?
Call us at 1-800-727-0025 (US and Canada) or request more information.
