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Business Jargon and Dialects
How to Improve Data Quality and Why
Systems Strategy and Data Quality
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achieved activities analysis analyzed application architecture approach appropriate attributes automate aware basis benefits Business Process Reengineering business rules candidate key captured code harmonization common complexity compound key concept consistency Corporate Data Model costs data administration data architecture data control architecture data quality practitioner data structure database decision makers defined definition depend described EDIFACT effects effort ensure enterprise Entity Relationship Diagram entity type environment existing factors function fundamental high quality identified implementation important improvement informational systems instance involved Legacy system maintain manual mapping mechanism nature operational organization particular entity performance poor data quality possible potential practices principle problems purpose quality of data real world relating relevant represent responsible result scope second normal form significant situation specific standard strategic subtypes supertype Third Normal Form understanding users values whilst