IT organizations today are constantly challenged to do more with less. Reusing data processing jobs and employing best practices in monitoring the health of your data are proven ways to improve the productivity of data professionals. Dataflux Data Management Studio is a component of both the SAS Data Quality and
We all have challenges in getting an accurate and consistent view of our customers across multiple applications or sources of customer information. Suggestion-based matching is a technique found in SAS Data Quality to improve matching results for data that has arbitrary typos and incorrect spellings in it. The suggestion-based concept
With DataFlux Data Management 2.7, the major component of SAS Data Quality and other SAS Data Management solutions, every job has a REST API automatically created once moved to the Data Management Server. This is a great feature and enables us to easily call Data Management jobs from programming languages
