Sunday, May 30, 2010

Understanding the need of Data Quality

The most common perception is that low quality data is the result of existing and inadequate CRM, BI or integration applications. But surprisingly data quality is an issue that none of these applications can manage.

The performance of ERP, CRM, SCM or legacy systems in an enterprise demands that while data flows in and out of an operational data store, data warehouse or an integration data asset, its quality should remain untouched. The performance of other applications is dependent on the quality of data that it’s given to work on. So it is essential that data quality should act as a firewall for data coming from various sources. Only once the data gets clearance from the data quality norms, it should be sent to for data integration. From there it flows to the data warehouse where it can be accessed by different applications requesting it.

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