Data quality refers to the tools and processes that result in the creation of correct, complete and valid data that is required to support sound decision-making.


NewsData scientists see messy, disorganized data as a major hurdle preventing them from doing what they find most interesting in their jobs: predictive analysis and data mining for behavioral patterns and future trends, according to a new report from CrowdFlower, a data enrichment platform provider.
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NewsFinancial and actuarial executives at insurance companies report their technology needs are not being met, according to the latest EY Global Insurance CFO Survey.
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BlogA look at how the bipartisan legislation has impacted government agencies so far.
InsightsA small number of information-rich data streams, leveraged properly, can yield more value than masses of captured data.
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Case StudyOne year after the first large-scale deployment of the UPS On-Road Integrated Optimization and Navigation (ORION) platform, I’m encouraged to see that this advanced analytics program and process is spearheading a groundbreaking change for UPS.
NewsIn what is being touted as the first real-world trial of the impact of patient-controlled access to electronic health records, almost half of the patients who participated in the study withheld clinically sensitive information in their EHR from some or all of their healthcare providers.
BlogDirty data is bad -- but is "good enough" data the new reality?
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NewsA “culture of increased transparency” is needed at the U.S. Health and Human Services Department, Secretary Sylvia Mathews Burwell said, after Obamacare enrollment data were padded with dental plan customers in what she has called an error.
NewsElectronic health records (EHR) will deliver cost savings of $78 billion to the global healthcare industry between 2014 and 2019, becoming an integral part of future digital healthcare initiatives, according to a new report from technology research firm Juniper Research.
NewsAmid the Ebola outbreak in Western Africa -- which has triggered Ebola fears in North America -- some pundits now position Big Data applications as a way to get ahead of the disease. If that's true, how come Big Data offerings didn't spot Ebola trends far earlier in the current outbreak cycle -- or did they?
BlogAlways perform data quality checks before displaying information
CommentaryData professionals should be involved in the evaluation, design and deployment of emerging technologies beyond big data.
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