Data quality is a key concern for companies during the economic downturn, it has been claimed.
Daniel Teachey, writing for sdcexex.com, stated that there are numerous ways that businesses can ensure that they avoid a poor standard of product data.
He commented that a vital element of this is analysis, with information profiling or discovery one way of finding any weaknesses.
Mr Teachey added any known problems in data quality should be tackled immediately, with this being achieved through measures such as matching, clustering, standardization and enrichment solutions.
He went on to say that data controls are also important, with the application of monitoring techniques being a good way of maintaining quality data.
In related news, earlier this month John Wilmes, chief technical architect for Progress Software's communications sector, told DestinationCRM.com, that poor quality data could make consumers unhappy, with this being particularly true in the Customer Relationship Management sector.