The University of Michigan generates an incredible amount of data each day, informing ground-breaking research and discovery, teaching and learning, and patient care. With advances in machine learning, advanced sensor technology, robotics, automation, and the Internet of Things, our accumulation of data—as well as the outcomes that can be drawn from it—is expected to grow exponentially.
Data consumers are often tasked with being experts in databases, data stewardship, and complex analytical tools to access and draw insights from their desired information. In a rapidly changing environment, this limits our ability to make timely and effective decisions. Moreover, our current methods of sharing data often compel campus partners to create copies of institutional data in local databases for individual reporting and decision support needs. This duplication leads to increased IT security, privacy, and compliance risks, poor quality, and different interpretations of the same data. It also creates multiple sources of truth.
But there is a better way for the future. Join us to hear about some of the innovations that are being pursued to provide easy access to intuitive, consistent and accurate data. We also welcome your ideas on how to advance the use of data at U-M.
