Chapter 3. Data Quality
Everybody wants better quality of data. Some organizations hope to improve data quality by moving data from legacy systems to enterprise resource planning (ERP) and customer relationship management (CRM) packages. Other organizations use data profiling or data cleansing tools to unearth dirty data, and then cleanse it with an extract/transform/load (ETL) tool for data warehouse (DW) applications. All of these technology-oriented data quality improvement efforts are commendable—and definitely a step in the right direction. However, ...
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