William Yeoh

Dr. William Yeoh is the Director for IBM Centre of Excellence in Business Analytics at Deakin University, Australia. He received his PhD from the University of South Australia. His main research interests include Business Intelligence and Analytics, Information Quality, Enterprise Systems, Cloud Computing & Crowdsourcing. His research are supported by various funding bodies and have appeared in high-tier journals (A* & A journals) and top five IS conferences (eg. ICIS). His analytics expertise is well-recognised by industry - he has been a frequent invited speaker at industry forums. Dr. Yeoh has won numerous awards including the 2017 ICT Educator of the Year Gold Award (awarded by the Australian Computer Society ACS - the Australia’s premier ICT professional association), internationally-competitive IBM Faculty Award that rarely bestowed on Australian-based academics (2016 & 2017), Deakin’s Vice-Chancellor Award for Value Innovation (2016), and Faculty Excellence in Research Award (2017). Moreover, his mentored team was crowned the World Champion at the 2016 IBM Watson Analytics Global Competition held in Las Vegas.

Publications

Applying Business Intelligence Initiatives in Healthcare and Organizational Settings
Shah J. Miah, William Yeoh. © 2019. 384 pages.
Data analysis is an important part of modern business administration, as efficient compilation of information allows managers and business leaders to make the best decisions for...
Factors Influencing Managers' Use of Mobile Tablets: An Exploratory Study
Shijia Gao, William Yeoh, Siew Fan Wong, Edgar Alexander Bruno Kautzner. © 2019. 16 pages.
In recent years mobile tablets are being used by many managers. Yet hitherto there is a lack of research on managerial use of the new mobile technology. Hence, this study aims to...
Depicting Data Quality Issues in Business Intelligence Environment Through a Metadata Framework
Te-Wei Wang, Yuriy Verbitskiy, William Yeoh. © 2019. 14 pages.
Modern business intelligence systems depend highly on high quality data. The core of data quality management is to identify all possible sources of data quality problems. To...
A Conceptual Model for Cloud Computing Adoption by SMEs in Australia
Ishan Senarathna, Matthew Warren, William Yeoh, Scott Salzman. © 2016. 28 pages.
Cloud Computing is an increasingly important worldwide development in business service provision. The business benefits of Cloud Computing usage include reduced IT overhead...
A Conceptual Model for Cloud Computing Adoption by SMEs in Australia
Ishan Senarathna, Matthew Warren, William Yeoh, Scott Salzman. © 2015. 29 pages.
Cloud Computing is an increasingly important worldwide development in business service provision. The business benefits of Cloud Computing usage include reduced IT overhead...
Information Quality and Governance for Business Intelligence
William Yeoh, John R. Talburt, Yinle Zhou. © 2014. 478 pages.
Business intelligence initiatives have been dominating the technology priority list of many organizations. However, the lack of effective information quality and governance...
Improving Business Intelligence Traceability and Accountability: An Integrated Framework of BI Product and Metacontent Map
Chin-Hoong Chee, William Yeoh, Shijia Gao, Gregory Richards. © 2014. 20 pages.
A Business Intelligence (BI) system provides users with multi-dimensional information (a so-called ‘BI product') to support decision-making. However, existing BI systems...
International Journal of Business Intelligence Research (IJBIR)
Shah J Miah. Est. 2010.
The International Journal of Business Intelligence Research (IJBIR) is a peer-reviewed publication dedicated to exchanging the latest academic research and practical findings on...