Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.
cost of collecting data hospitals
doesn't have to be costly or troublesome. With a solid Total Data Quality methodology in place — which entails a comprehensive process of data profiling, cleansing, parsing and standardization, matching, enrichment, and monitoring — an organization can successfully facilitate an MDM application. Total Data Quality helps expand the meaning between data sets, consolidates information, and synchronizes business processes. It gives organizations a more complete view of customer information — unlocking