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Monthly Archives: October 2013

Direct mail is still a relevant marketing strategy in 2013

Richard Jones Archive
If you believe everything you read about in tech blogs, you might infer that snail mail is dead - but in reality, that’s very far from the case.

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Are companies taking action with data quality?

Rachel Wheeler Archive
Once companies are able to address the data quality issue, they can turn their attention to other matters - such as actually getting results from all the information they’re collecting.

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The need for high-quality data in human resources

Paul Newman Archive
Just as they put a lot of time and money into mining information and ensuring data quality with their customers, they can do the same with their workforce.

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Data quality vital for federal tax bureaus during busy season

Rachel Wheeler Archive
There are many reasons that federal government officials have a need to maintain high levels of data quality. One of them is tax collection.

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Address verification sorely needed to assist local post offices

Richard Jones Archive
It's not just big business that needs accurate clusters of data in its coffers.

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Businesses should continuously monitor the quality of their data

Rachel Wheeler Archive
It's important for IT leaders to know that guaranteeing data quality is not a one-time action - it's a continuing pursuit.

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Inaccurate contact information in voter databases proves troublesome

Paul Newman Archive
In the for-profit private sector, data quality can make the difference between a smart business decision and a costly misstep. In the public realm, it’s not about making profits or incurring losses, but trouble with accurate data can lead to serious miscarriages of justice.

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How valuable is data quality in marketing?

Paul Newman Archive
The more precise marketers get with their data, the better.

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Businesses should celebrate their data-driven successes

Richard Jones Archive
There’s a need for more positivity regarding companies’ data initiatives.

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Remediate your data by preventing any and all defects

Paul Newman Archive
A simple way to explain data remediation is that it’s like taking care of your teeth.

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