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Data Management
Jim Harris 0
MDM intersections, Part 1: Data quality

Master data management (MDM) is distinct from other data management disciplines due to its primary focus on giving the enterprise a single view of the master data that represents key business entities, such as parties, products, locations and assets. MDM achieves this by standardizing, matching and consolidating common data elements across traditional and big

Work & Life at SAS
Big Win for Consumers: “Added Sugar” Listed on New Food Label

If you’ve followed recent health news, you’ve read reports confirming the negative health effects of excess sugar consumption.  High sugar intake has been linked to obesity, diabetes, heart disease, brain diseases and more.  Numerous health organizations including the American Heart Association, American Academy of Pediatrics, Institute of Medicine (IOM) and

Work & Life at SAS
Page Cvelich 0
Are you missing too many recesses?

Just before my son's wedding this spring, I was considering what I could share about Michael at the rehearsal dinner.  As I sorted through pictures from his childhood, I came across one from 5th grade.  Michael played the main character in Leo Tolstoy's Christmas story, "Papa Panov".  During the performance, he stayed in

Data Management | Programming Tips
Mary Kathryn Queen 0
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

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