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Monthly Archives: January 2013

Companies need "use it or lose it" attitude to maintain data quality

Paul Newman Archive
Most companies are excited about the prospect of big data, but they aren't quite as excited about data quality tools they need to accomplish their goals and complete tasks, Evan Levy wrote in a blog post for Information Management.

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Smart data drives better decisions

Richard Jones Archive
While there is an increased focus on enterprise big data initiatives, some experts believe organizations should be focusing more on quality.

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IT can transform higher education

Rachel Wheeler Archive
Higher education, similar to virtually every other industry, has a unique and sophisticated IT landscape that decision-makers need to deal with if organizations are to succeed.

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Healthcare data quality relies on interoperability

Paul Newman Archive
The healthcare industry is currently undergoing a massive reform in which doctors are being asked to rely on electronic health records (EHRs), and the data quality of notes and patient histories, to make the best decisions about patients' care plans.

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Accurate data quality can help track the flu spread

Paul Newman Archive
Big data has been touted as a solution to many business problems, from more accurate risk analysis by insurance companies to smarter product placement in grocery stores.

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CFOs focus on quality, not quantity

Paul Newman Archive
The ongoing proliferation of digital resources is pushing data quality precedence beyond the IT department.

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Library of Congress' big data problems similar to those in smaller enterprises

Paul Newman Archive

At the beginning of 2013, the Library of Congress provided an update on its massive Twitter archive, which includes approximately 170 billion tweets to date. Like many other organizations, the Library, hopped on the big data bandwagon and encountered technology challenges when it came to organizing the content in a way that upholds data quality for meaningful interpretation.

The Library agreed to collect, preserve and organize the tweets starting April 2010, including the 21 billion messages that had already been tweeted since 2006. This was meant to serve as a new kind of archive to capture the era of social media communication. Now, the Library's system can harvest and store the information, but it needs to develop a method for organizing and cataloging it to generate comprehensive insight.

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Master data management grows more significant

Richard Jones Archive
The big data phenomenon is having a major impact on companies of all sizes, as executives are forced to find innovative ways to accumulate, evaluate and ultimately use fast-moving, highly diverse resources.

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Big data strategies present both opportunities and challenges

Paul Newman Archive
Big data analytics strategies are no longer limited to IT companies, according to Mashable.

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Insurers learning to prioritize data quality, analytics

Rachel Wheeler Archive

A recent study revealed that claims professionals and the overall insurance industry will likely focus on data quality issues in 2013 to eliminate wasted expenses and improve customer experience. By using analytics and other advanced tools, decision-makers can gain greater insight into operations and develop unique strategies to mitigate concerns.

Unfortunately, the survey revealed that more than 40 percent of insurance claims professionals are not using business intelligence solutions to their advantage. As a result, firms are unable to eliminate expenses or improve customer interactions.

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