DataFlux Data Management Studio 2.6: User Guide

Overview of Data Management Studio

DataFlux Data Management Studio is a data management suite that combines data quality, data integration, and master data management. It provides a process and technology framework to deliver a single, accurate and consistent view of your enterprise data.

DataFlux Data Management Studio gives you the ability to:

• Merge customer, product, or other enterprise data
• Unify disparate data through a variety of data integration methods (batch, real time, virtual)
• Verify and complete address information
• Integrate disparate data sets and ensure data quality
• Transform and standardize product codes
• Monitor data for compliance in batch or real time
• Manage metadata hierarchy and visibility

DataFlux Data Management Studio enables you to establish an effective data governance platform. It provides a powerful interface for:

• Metadata analysis - Understand what data resources you have and extract and organize metadata from any source anywhere throughout the enterprise. See Maintaining Data Explorations.
• Data profiling - Execute a complete assessment of your organization's data, examining the structure, completeness, suitability and relationships of your information assets. See Maintaining Profiles.
• Data quality - Correct data problems, standardize data across sources, and create an integrated view of corporate information. Data quality features include business rules and tasks, the nodes in the Quality folder for data jobs, and Quality Knowledge Bases. For more information, see Customizing Quality Knowledge Bases, Maintaining Business Rules and Tasks, and the Suggestion-Based Matching appendix.
• Data integration - Consolidate and migrate data from any data structure using extract-transform-load (ETL) methods, extract-load-transform (ELT) methods, as well as virtual or real-time data integration. See Maintaining Data Jobs and Maintaining Process Jobs.
• Data monitoring - Build business rules for quality, providing a foundation for an ongoing, highly-customized data governance program. See Monitoring Data and Maintaining Business Rules and Tasks.
• Address standardization - Standardize and verify address information for more than 240 countries around the world. Address standardization features include some of the nodes in the Enrichment folder for data jobs and the Using the Address Update Add-On.
• Data enrichment - Add new data elements to customer and product data to meet the needs of your organization. See the Enrichment folder for data jobs.
• Master data management - Use a structured and flexible process to define and process master data records, yielding the best possible record for a specific resource, such as a customer or a product, from all of the source systems that might contain a reference to that resource. Master data management features include Using DataFlux Master Data Management Foundations and Working with Entity Resolution.

See also Related Products.