Data Quality Management |
Data Quality Management (DQM) is an important issue in virtually
every enterprise. Not only because data is known to be a strategic
resource, but also because of the personal concerns of
Successful DQM-projects not only deliver a competitive advantage by raising the utility of corporate information for almost every department. The projects also lead to considerable savings, because once the quality assurance processes have been implemented and attuned, the continuous improvement of the data quality will be an simple and gratifying task. DQM-projects thus multiply the value of centralized data stores, e.g., Data Warehouses. Our experience has shown the BSC-methodology to be an appropriate way to control and focus data quality activities. Considering the following factors is essential for achieving a prolonged improvement:
DQM-project don't always deliver bad news. Often they show that existing data are better than expected and of sufficient quality for certain purposes. And where this is not the case, DQM-projects help locate good data that can be substituted for low-quality, or erroneous data. |