In this article, we propose a maturity framework that addresses the data management challenges for organizations seeking to develop and deploy IoT platforms. We will highlight this framework through a data management lens, exposing the implications and requirements for data collection and storage, data integration, and data analysis. Finally, we will suggest a set of prescriptions for organizations wishing to improve their level of IoT maturity in order to capitalize on this phenomenon.
Article
Exploratory, Embedded, Enabled: The Three E’s of IoT Data Management Maturity
Posted May 10, 2016 | Technology | Amplify
About The Author
Donald E. Wynn, Jr., is an Associate Professor in the School of Business Administration at the University of Dayton. He holds a PhD in business administration from the University of Georgia. His research appears in journals such as MIS Quarterly, MIS Quarterly Executive, Information Systems Journal, Cutter IT Journal, the Journal of Organizational and End User Computing, Communications of the AIS, and Journal of the Academy of Marketing Science… 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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