Data sdy is a tool that enables organizations to assess the value of investments in their data analytics and artificial intelligence projects. It identifies gaps and provides recommendations to overcome them. This approach supports strategic objectives, operational efficiency and innovation while enabling scalability, system integration, regulatory compliance, and risk mitigation. It also addresses real-world problems with cross-cultural perspectives within collaborative, interdisciplinary teams.
For example, in selection it can be used to determine whether or not a particular assessment center is worth investing in. Or it could be used to decide whether or not a training program will lift performance enough to justify its initial cost. SDy is most commonly applied to Selection questions and training, but it can also be applied to any project where a return on investment is being evaluated.
The CDC’s SUID and SDY Case Registry collects data on infant deaths up to age 12 months, including health information about the circumstances of the death. In addition to this national monitoring, the ten CDC-funded sites also have expanded their SUID/SDY monitoring work to include data collected by community-based partners. Using this data, the CDC and the National Institutes of Health will be able to track and analyze trends in SUID/SDY mortality rates among infants. Ultimately, this will enable communities to improve the way they prevent and respond to SUID/SDY deaths. This data will be available in late 2022.
