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.
it data breach note
from various source systems, it is the Total Data Quality process that ensures integration with a high level of data quality and consistency. Once an organization''s data is cleansed, its unique identifiers can be shared among multiple sources. In essence, a business can develop a ''single customer view'' — it can consolidate its data into a single customer view to provide data to its existing sources. This ensures accurate, consistent data across the enterprise. Attributes — Once a unique identifier is