BIS Cluster: Dr Hong-Mei Chen
A Big data system development is dramatically different from small (traditional, structured) data system development. At the end of 2014, big data deployment is still scarce and failures abound. Outsourcing has become a main strategy for many enterprises. We therefore selected an outsourcing company who has successfully deployed big data projects for our study. Our research results from analyzing 10 outsourced big data projects provide a glimpse into early adopters of big data, illuminates the challenges for system development that stem from the 5Vs of big data and crystallizes the importance of architecture design choices and technology selection. We followed a collaborative practice research (CPR) method to develop and validate a new method, called BDD. BDD is the first attempt to systematically combine architecture design with data modeling approaches to address big data system development challenges. The use of reference architectures and a technology catalog are advancements to architecture design methods and are proving to be well-suited for big data system architecture design and system development.
Dr. Hong-Mei Chen is a Professor of Information Technology Management at the Shidler College of Business of the University of Hawaii at Manoa. She formerly served as an Associate Dean for the College and Founder/Director of the Advanced Information Management Solutions (AIMS) Lab. She earned a Ph.D. in Business Administration with a minor in Electrical and Computer Engineering from the University of Arizona in Tucson. She obtained a M.S. in Management Information Systems (MIS) from University of Arizona and a B.S. in Business Administration from National Taiwan University in Taipei, R.O.C.
Prof. Chen conducts cross-disciplinary empirical research on information systems design and development. Her current research interests include big data (adoption, engineering and management), innovation-driven architecture design and analysis, social customer relationship management (SCRM), service engineering, and business-IT alignment. She focuses on theories and applications in ultra large scale (ULS) information systems, green information systems and crowdsourced systems. She has directed several large-scale multi-million dollar, multi-institution research projects in high performance telemedicine, multimedia distributed databases, Electrical Vehicle (EV) performance visualization and simulation, data mining and data warehousing. She has obtained large grants and served on various NSF (National Science Foundation) review panels and a management team for large grants (each awarded over US$ 8 million). She has provided consulting services to Fortune 100 companies as well as European and Australian governments. She serves as a reviewer for elite MIS journals. She has widely published including in such journals as Journal of Management Information Systems (JMIS), Communications of the ACM (CACM), IEEE Transactions on Services Computing, Electronic Commerce Research, Journal of Systems and Software, and other IS, computer science and software engineering journals.