Data Quality
Data Quality: Before doing ERP or CRM implementation or any new project make sure that the data quality is good. ETL process should not be used for fixing data problems Type of Tools available for improving data quality are Data Profiling software: sifts data fields for duplication, missing information and other errors Data Cleansing and matching tools: parse data into discrete elements and clean it, standardize it in formats and match and merge records Data Enhancements tools: enrich data by incorporating third-party elements Data Monitoring tools: ensure that data maintains preset level of quality Data Quality Vendors: www.firstlogic.com uses a SOA to capture and validate data www.trilliumsoftware.com www.dataflux.com (SAS subsidiary)