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Richard Jones

Study finds most data is not accurately analyzed

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An ongoing study by IDC revealed that 2.8 zettabytes of information will have been created and replicated in 2012, though this will jump to approximately 40 zettabytes by 2020.

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Study: Big data could provide huge savings for the healthcare industry

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As physicians practices and hospitals start to analyze the structured and unstructured information stored in their electronic health records, generated by mobile health applications and collected by sensors, they could see $300 billion in savings every year.

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Keeping data management projects on track

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Retail organizations are increasingly coming upon customer and internal information that can be used to enhance operations.

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Businesses demand real-time processing for big data

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As organizations acquire more information on internal and customer-facing operations, decision-makers are realizing the need for analytic and other data quality tools that can convert meaningless files into useful resources.

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Retailers developing data plans to understand, target customer preferences

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The holiday season is in full swing, with comScore reporting that consumers have already spent upward of $29 billion on products and services through ecommerce alone.

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Analytics rises and falls on data management

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Business intelligence projects are certainly a sound idea in the current data-saturated age. They are not, however, automatic successes and require finesse and forethought.

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EHRs lack adequate data quality standards for reporting measures

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Healthcare reform is inspiring a growing number of doctors and practices in the United States to switch to electronic health records (EHRs) so they can qualify for incentive payments from the Centers for Medicare and Medicaid Services (CMS).

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Advanced analytics requires focus on data quality

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Advanced business intelligence tactics could exert different information management demands than their predecessors, meaning companies will have to learn to deal with their data resources in new ways.

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Business intelligence users stymied by quality worries

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The main thing coming between businesses and intelligence is data quality.

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Data cleansing vital part of data science

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The bulk of a data scientist's role is the mundane but powerful task of cleansing information.

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