Data Management

Understand why managing your data is essential for analytics

Data Management | Programming Tips
Mary Kathryn Queen 1
Using Multiple Quality Knowledge Base Locales in a DataFlux Data Management Studio Data Job

In DataFlux Data Management Studio, the data quality nodes (e.g., Parsing, Standardization, and Match Codes) in a data job use definitions from the SAS Quality Knowledge Base (QKB).  These definitions are based on a locale (Language and Country combination).  Sometimes you would like to work with multi-locale data within the

Data Management | Programming Tips
Mary Kathryn Queen 0
Improving matching results in DataFlux Data Management Studio with cluster comparison

Trusted data is key to driving accurate reporting and analysis, and ultimately, making the right decision. SAS Data Quality and SAS Data Management are two offerings that help create a trusted, blended view of your data. Both contain DataFlux Data Management Studio, a key component in profiling, enriching monitoring, governing

Data Management | SAS Administrators
Charlotte Crain 0
In-Database Nirvana – The Five Step Process to run business rules without moving data

The phrase “business rules” is often loosely used. It can refer to things like constraints in a query, a data mapping, a data quality constraint, a data transformation, or a model. Business rules also reflect an enforced policy, a regulatory requirement and business constraints on model scores that trigger analytically-driven

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