As with other data-intensive technologies, collecting and analyzing data from Internet of Things (IoT) deployments requires sound data management strategies and tactics. Collecting and analyzing this data can be generalized to include three distinct processes: (1) data collection and storage, (2) data integration, and (3) data analysis (see Figure 1). In this Advisor, we examine each of these processes.
Advisor
About The Author
Donald E. Wynn, Jr., is an Associate Professor of Management Information Systems at the University of Dayton, Ohio, USA. He received his PhD in business administration from the University of Georgia. His primary research interests are in open source software, electronic health record software, technological ecosystems, information security behaviors, and qualitative research methods. Dr. Wynn has presented at several academic conferences and… Read More
Renée M.E. Pratt is an Assistant Professor at the University of Massachusetts Amherst in the Isenberg School of Management in the Operations and Information Management Department. She received her doctorate from Florida State University in management information systems. Dr. Pratt completed research in 2013 on the implementation and post-adoption processes of electronic medical record software under a Fulbright Scholar Grant in Germany. Her… Read More
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