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Yearly Archives: 2013

Importance of data quality can never be underestimated

Richard Jones Archive
When it comes to data quality and its importance, it is impossible for companies to underestimate how critical it is to their success.

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Interest in education data is on the rise nationwide

Paul Newman Archive
If the goal of the American education system is to "leave no child behind," as the cliché goes, then all 50 states need to be on board.

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Roundup of November news stories

Richard Jones Archive
It's a busy season in the data world. November brought more news of technological progress, along with troubling news of a few setbacks as well.

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There's tremendous potential in government data collection

Paul Newman Archive
Rather than work separately, public and private data scientists could accomplish more if they worked together.

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Mobile devices contribute to rapid rise on retail data

Rachel Wheeler Archive
Why do large online retailers like Amazon have a competitive advantage over other sellers on the market? There are many reasons, but here's one big one: data.

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Education leaders call for high standards of data quality

Paul Newman Archive
All across the United States, education departments are focused on channeling higher levels of data quality into better results.

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Market for data quality tools is growing rapidly

Rachel Wheeler Archive
Companies everywhere are realizing the importance of data quality, and they're showing a willingness to spend on it.

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Can you count on social media for data quality?

Richard Jones Archive
Whenever consumers engage in social networking - be it on Facebook, Twitter, Foursquare or anywhere else - they put a great deal of their personal information online.

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The role of data in government transparency

Richard Jones Archive
Unfortunately, many people lack faith in their government leaders, and they’ve begun to demand transparency with public data.

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Data mishap leads to mistaken health care mailing in California

Rachel Wheeler Archive
It’s important that health care services pay close attention to matters of data quality. If they don’t, they risk putting information into the wrong hands, which could endanger patients and harm their business.

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