Big data is the sexy new frontier for many businesses but it’s expensive to stand up in an organization and expensive to buy from an external vendor. The speed at which C-suites and their boards of directors can grow weary of financing data infrastructure, data scientists/analysts, and vendor support can be startling. The most important function of data science in an organization isn’t the science; it’s the consumption of the science. How will data scientists show the value of what they do? This session will cover the most fundamental way to demonstrate that data science matters to the organization focusing on meaningful data consumption, how to measure it and how to value it. Examples will be used to illustrate along with the infrastructure needed to support the demonstration of data science value.
Pamela Peele, Ph.D., is the Chief Analytics Officer of the UPMC Insurance Services Division. Dr. Peele brings 13 years of patient care experience along with 12 years of academic research experience to her position as the leader of health care analytics at the Health Plan. She is responsible for data analytic activities, economic modeling, predictive modeling, statistical analysis, and machine learning. Her work focuses on the application of economic and statistical models to improve the health and welfare of populations. Prior to joining the Health Plan in 2006, Dr. Peele was the Vice Chair of the Department of Health Policy & Management at the University Of Pittsburgh Graduate School Of Public Health. She currently holds faculty appointments in Health Policy & Management and in Psychiatry in the School of Medicine at the University of Pittsburgh. She is core faculty at the Center for Research on Health Care at the University of Pittsburgh Medical Center. She has numerous published articles and book chapters.
Dr. Peele has a BA in economics from Roanoke College in Salem, VA, and a MA and a PhD in economics from Virginia Tech in Blacksburg, VA.
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