Closing the Analytics Talent Gap
An Executive's Guide to Working with Universities
- Available for pre-order. Item will ship after May 4, 2021
How can we recruit out of your program? We have a project – how do we reach out to your students? If we do research together who owns it? We have employees who need to "upskill" in analytics – can you help me with that? How much does all of this cost? Managers and executives are increasingly asking university professors such questions as they deal with a critical shortage of skilled data analysts. At the same time academics are asking such questions as: How can I bring a "real" analytical project in the classroom? How can I get "real" data to help my students develop the skills necessary to be a "data scientist? Is what I am teaching in the classroom aligned with the demands of the market for analytical talent?
After spending several years answering almost daily e-mails and telephone calls from business managers asking for staffing help and aiding fellow academics with their analytics teaching needs, Dr. Jennifer Priestley of Kennesaw State University and Dr. Robert McGrath wrote Closing the Analytics Talent Gap: An Executive's Guide to Working with Universities. The book builds a bridge between university analytics programs and business organizations. It promotes a dialog that enables executives to learn how universities can help them find strategically important personnel and universities to learn how they can develop and educate this personnel.
Organizations are facing previously unforeseen challenges related to the translation of massive amounts of data—structured and unstructured, static and in-motion, voice, text, and image—into information to solve current challenges and anticipate new ones. The advent of analytics and data science also presents universities with unforeseen challenges of providing learning through application. This book helps both organizations with finding ‘data natives" and universities with educating students to develop the facility to work in a multi-faceted and complex data environment.
Table of Contents
Chapter 1. Analytics and Data Science 101
Chapter 2. Navigating Universities: Where to Start
Chapter 3. Collaborating with Undergraduate Programs
Chapter 4. Collaborating with Masters Programs
Chapter 5. Collaborating with Doctoral Programs
Chapter 6. Collaborating with Universities for Continuing and Professional Education
Jennifer Lewis Priestley, Ph.D. is a Professor of Statistics and Data Science. Since 2004, she has served as the Associate Dean of the Graduate College and as the Executive Director of the Analytics and Data Science Institute at Kennesaw State University. In 2012, the SAS Institute recognized Dr. Priestley as the 2012 Distinguished Statistics Professor of the Year. She served as the 2012 and 2015 Co-Chair of the National Analytics Conference. Datanami recognized Dr. Priestley as one of the top 12 "Data Scientists to Watch in 2016." She architected the first Ph.D. Program in Data Science, which launched in February 2015. Dr. Priestley has been a featured international speaker at The World Statistical Congress, The South African Statistical Association, SAS Global Forum, Big Data Week, Technology Association of Georgia, Data Science ATL, The Atlanta CEO Council, Predictive Analytics World, INFORMS and dozens of academic and corporate conferences addressing issues related to the evolution of data science.
Robert Joseph McGrath, Ph.D. is the Everett B Sackett Professor of Health Management and Policy within the College of Health and Human Services at the University of New Hampshire. Since 2018 he has served as the Chair of the Department of Health Management and Policy and the Director of the Graduate Programs in Health Data Science. Prior to that time, he founded and directed the UNH Graduate Programs in Analytics and Data Science. Dr. McGrath has been a program partner with the Northeast Big Data and Innovation Hub in the areas of data literacy and data ethics. He has been a featured national and international speaker at the Chengdu University and Chengdu Institute for Technology (China), the Northeast Big Data Conference, the Joint Statistical Association, SAS Global Forum, INFORMS, the American Association of Colleges of Nursing, the Association of University Programs in Health Administration, the American Public Health Association, the American College of Medical Genetics, and many other academic and corporate conferences addressing issues related to the evolution of data science and health analytics.