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Big Data Analytics in eLearning: Aspects Everyone Should Know

Smart Data Collective

Big data analytics is finding applications in eLearning. By analyzing big data, Edutech businesses discover interesting ways to revolutionize learning as we know it. Year after year, the volume of data in eLearning (and the need to analyze it) increases. In 2017, 77% of U.S.

Big Data 305
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Advances in Data Analytics Are Rapidly Transforming Nursing

Smart Data Collective

Big data is especially important for the nursing sector. A 2017 study from Harvard Medical School discusses some of the changes big data has created for nurses. Data Processing and Implementation Nurses and hospitals in general are using data to improve their ability to serve the community. It’s a big deal.

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Data Analytics Play Huge Role In Optimizing Organization Management

Smart Data Collective

The number of companies utilizing data analytics has skyrocketed in recent years. In 2017, 53% of companies reported using data analytics as part of their strategy. It can help you to make changes and improvements company-wide, and you can employ further analytics to check on the effectiveness of those changes.

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Agile Technology and Big Data Improve the State of Cybersecurity

Smart Data Collective

The risk of data breaches is rising sharply. The number increased 56% between 2017 and 2018. Big data technology is becoming more important in the field of cybersecurity. Data analytics and AI technology make this possible. There is always a possibility that things won’t always go as per the plan.

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Machine Learning Could Slash Car Accident Casualties in Coming Years

Smart Data Collective

Although some accidents are inevitable, the prevalence could be reduced considerably by improving highway planning, helping drivers identify risk factors and better organizing events with high traffic volume. In 2017, the university forged a partnership with Microsoft and the city of Bellevue.

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Why is Natural Language Processing Important to Enterprise Analytics?

ElegantJ BI

An enterprise that commits to these types of advanced data analytics tools can enjoy the benefits of a shared understanding of data and goals, improved decision-making, fact-based analysis that avoids guesswork and allows for refined planning and forecasting at every level of the organization.

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Why is Natural Language Processing Important to Enterprise Analytics?

ElegantJ BI

An enterprise that commits to these types of advanced data analytics tools can enjoy the benefits of a shared understanding of data and goals, improved decision-making, fact-based analysis that avoids guesswork and allows for refined planning and forecasting at every level of the organization.