Springer Harnessing the Power of Analytics

Product Description This text highlights the difference between analytics and data science, using predictive analytic techniques to analyze different historical data, including aviation data and concrete data, interpreting the predictive models, and highlighting the steps to deploy the models and the steps ahead. The book combines the conceptual perspective and a hands-on approach to predictive analytics using SAS VIYA, an analytic and data management platform. The authors use SAS VIYA to focus on analytics to solve problems, highlight how analytics is applied in the airline and business environment, and compare several different modeling techniques.  They decipher complex algorithms to demonstrate how they can be applied and explained within improving decisions. From the Back Cover This text highlights the difference between analytics and data science, using predictive analytic techniques to analyze different historical data, including aviation data and concrete data, interpreting the predictive models, and highlighting the steps to deploy the models and the steps ahead. The book combines the conceptual perspective and a hands-on approach to predictive analytics using SAS VIYA, an analytic and data management platform. The authors use SAS VIYA to focus on analytics to solve problems, highlight how analytics is applied in the airline and business environment, and compare several different modeling techniques.  They decipher complex algorithms to demonstrate how they can be applied and explained within improving decisions. About the Author Dr. Leila Halawi is a tenured associate professor in the Graduate studies department of the College of Aeronautics, Worldwide Campus. She is the program chair for the Master of Aviation sustainability and associate program chair for the master of I.T. Entrepreneurship. Previously, Dr. Halawi served as the MIS Discipline Chair, Chair of the Research Committee for the Senate, and the Director of Research for the College of Business. She developed many of the courses within the MMIS program. She holds a Certification from Sloan C Consortium in Online Teaching and a certificate from Quality Matters on Applying the Q.M. Rubrics (APPQMR). She is an advisory board member and a reviewer for the Enterprise Architecture Body of Knowledge (EABOK), Mitre Corporation. She is a Reviewer for the Journal of Computer Information Systems (JCIS) and the International Association for computer information systems (IACIS). She is also a program committee member and reviewer for the European Conference on Social Media (ECSM), the European Conference on Knowledge Management (ECKM) and the International Conference on Intellectual Capital and Knowledge Management (ICIKM), the Federated Conference on computer science and information systems (FEDCSIS). She is also part of the I.T. editorial board of the multimedia educational resource for learning and online teaching (MERLOT). She received the SAS 2020 Emerging Educator Award Recipient. Her current book that she co-authored, "Applying Predictive Analytics Finding Value in Data," was published by Springer in June 2019. Her research has been published in the Journal of Computer Information Systems (JCIS), the Learning Organization Journal, the Journal of Business Education, the Electronic Journal of Knowledge Management (EJKM), the Academy of Information and Management Sciences Journal (AIMSJ), Journal of International Technology and Information Management, Journal of Education for Business, Academy of Healthcare Management Journal (AHCMJ) among others. She is frequently invited to present her research at national and international conferences. Her current research interests include knowledge management, Business Intelligence, information systems success and strategy, and ethical impacts of information technology, promoting innovation, curriculum development, design, enterprise architecture and systems, big data, and predictive analytics.