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Home > Resources > Whitepapers > Scalable Predictive Analysis in Critically Ill Patients Using a Visual Open Data Analysis Platform
January 5, 2016
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DMS is a social business intelligence company specialized in social consumer analytics, social TV measurement, social audience engagement and advertising effectiveness solutions for TV networks, agencies and advertisers.
whitePaper | October 21, 2022
Connecting high-quality data assets to the consumers who depend on them unleashes new possibilities for creating more business value.
whitePaper | June 2, 2022
Data lakeshold enormous promise in supporting modern enterprise data architectures. Their ability to store a full variety of data types and handle ever-larger data volumes generated at high velocity have contributed to their widespread adoption.
whitePaper | August 25, 2022
Rubrik is the world’s first Cloud Data Management platform that delivers data protection, search, analytics, and copy data management to hybrid cloud enterprises.
whitePaper | December 28, 2022
For companies looking to innovate, minimize costs, and monetize new opportunities, how they drive value from their data estate is a determining factor in whether they succeed or fail. Similar to the speed, scalability, and efficiencies offered by Cloud computing, the ability for companies to do the same with their data operations – although not yet realized for most – will have a similar impact.
whitePaper | June 8, 2023
The importance of data in achieving successful business outcomes cannot be emphasized enough in this digital era. Businesses in recent times have embarked on digital transformation as they strive to keep existing customers happy while creating opportunities for new ones. It is worth noting that investments in data related concepts have soared, making data concepts such as data analytics, machine learning, interpretation of structured and unstructured data highly prevalent as these enable fast decision making for business agility.
whitePaper | November 18, 2022
For decades, the lack of visibility into the health of our data has led to data downtime in companies around the world. When data is missing, inaccurate, or erroneous, data quality initiatives are doomed to fail, leaving enterprises at a privacy compliance and business disadvantage.
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