Resumen
The article helps increase awareness of the significance of data quality and ultimately improve the quality of the data that is the foundation of an organization. Ensuring the quality of the data resource has been a continuing concern to those in the information systems profession. Over time techniques and procedures have evolved designed to make sure the data required by traditional transaction processing systems possesses an appropriate level of quality. However, the use of legacy data in, for example, decision and executive support systems has refocused attention on data quality and has exposed problems such as the need for "soft" data not encountered in traditional systems. Furthermore, data is now viewed as a key organizational resource and should be managed accordingly. The effectiveness of possible quality control procedures is uncertain if the data undergoes a series of ad hoc processing steps. It is possible technically to combine collections of data that were never meant to be combined.