Thursday, August 21, 2008

Improving Data Quality for Better Profit

How important is the quality of data to companies that rely on large direct mail campaigns? Very important? In fact, companies have losses up to 600 million dollars per year due to poor data quality. This may be the result of inaccurate information, typographical errors or outdated addresses residents. Data quality is the starting point for most marketing projects. You can? T achieve good results with inadequate, incomplete or incorrect data. Quality information tools that validate contact names, addresses, phone numbers and email addresses help improve the quality of their data for direct mail, marketing objective, and data-driven initiatives. Understand the major dimensions of data quality is the first step to improve data quality. Being able to separate data from failures or dimension of classification, analysts and allows developers to apply techniques to improve data quality using tools to improve both the information and processes that create and manipulate that information. Organizations rely on data quality tools to ensure records are in contact with complete and accurate? and prevent fraud and waste associated with bad contact information. Tools of data quality can operate in real time on the front-end process of data collection, acting as a data quality firewall, to avoid incomplete or inaccurate data entry into the database, First, through web forms and call center for entry. In addition, data quality tools can perform maintenance under way in the back-end to correct and update records lot. One of the misconceptions is that data quality can be achieved with a time of action that leads to perfection. A dynamic, not static, it is necessary to maintain data degradation over time, so any initiative data quality should include commissioning and maintenance. Data quality management is an ongoing process that must be applied consistently to ensure the long-term life of their data for the highest return on investment (ROI). Ensure accuracy of the data quality of life involves finding and correcting errors, as well as validation of current information, and then updating the register, as required through services such as processing NCOALink ® to find out if and when their clients have been moved. Data quality is mainly aimed at customers accurate information, including a valid address, name, e-mail, phone and number.If you are looking for excellent data quality solutions, Melissa Data can help you get started with the solutions? And programming tools? that can be added to their custom applications to capture, clean, maintain quality and contact details.
Source: http://www.articlesbase.com/direct-mail-articles/improving-data-quality-for-better-profit-528628.html

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