If you can’t accurately classify your data, you can’t accurately protect it. See how MIND #DLP has evolved data classification: https://hubs.la/Q02_YP6N0
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Data classification is hard, which is why most #DLP programs fail. Poor classification by conventional DLP tools has led to failure to protect the sensitive data that matters most to organizations and the flood of false positives. See how breakthroughs in data classification with modern solutions help make DLP programs effective again.
If you can’t accurately classify your data, you can’t accurately protect it. See how MIND #DLP has evolved data classification: https://hubs.la/Q02_YP6N0
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What is Data Classification and why is it important? Discover the key steps to effectively classify your data and safeguard sensitive information! #data_classification #data_loss_prevention #data_protection #informationsecurityservices #toabrightfuture
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Modernizing the U.S. Fire Data System: NERIS Data Framework and Development Update Webinar, May 2 https://ow.ly/P5FS50Rku0l
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Register for the free Aug 19 SAVI workshop, Avoid Data Pitfalls. You will learn how policy changes can affect the numbers, how factors outside your analysis can impact the data, and how to judge the accuracy and reliability of data. https://bit.ly/3X1bDuu
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Register for the free Aug 19 SAVI workshop, Avoid Data Pitfalls. You will learn how policy changes can affect the numbers, how factors outside your analysis can impact the data, and how to judge the accuracy and reliability of data. https://bit.ly/3X1bDuu
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In a world where data drives decisions, can you afford to overlook the integrity of your IPE? Discover how to ensure your data stands up to scrutiny: https://bdo-usa.co/4fPswjd #RiskManagement #DataIntegrity
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Today's blog will be tackling human error in data extraction. Click the link to examine the impact of fatigue-induced errors. #AIExtractsP&IDTags https://hubs.li/Q02L5YKJ0
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Today's blog will be tackling human error in data extraction. Click the link to examine the impact of fatigue-induced errors. #AIExtractsP&IDTags https://hubs.li/Q02L5YNv0
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Strategy and innovation leader for business, finance, NGOs, and civic services. Service design + design thinking + social impact.
I appreciated this insightful article on the value and risks of data standardization, with recommendations on how to mitigate the problems: https://lnkd.in/gX5CwbHV
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Today's blog will be tackling human error in data extraction. Click the link to examine the impact of fatigue-induced errors. #AIExtractsP&IDTags https://hubs.li/Q02L5DCv0
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