The Next Decade
Our 7th part of the KM Conference series of Zoominars
Building a Successful Data Driven Enterprise
Time: 1500H – 1600H ( GMT +8)
There is a collision of analytics, business intelligence, data science and machine learning with adjacent data related fields. Data science emerged as a new transdisciplinary field with mathematics (statistics and operation research), computer science (programming and logical thinking), and business domain as the key components surrounding data. Presently, everyone is rushing to reskill and upskill themselves with a wide spectrum of data related skillsets.
Nevertheless….How to build a successful data driven enterprise? Why need to be a data driven enterprise? What are the key success factors? Who are the key data personnel? When and where to use the right data or use the data right?
Brandon is currently a Senior Lecturer and Consultant with Data Science Practice Group in Institute of Systems Science, National University of Singapore (NUS-ISS). His current teaching and consulting areas are data visualisation and storytelling, geospatial analytics and supply chain analytics.
He completed his study in Computer Science, major in Software Engineering and Artificial Intelligence. He did research in Intelligent Transportation System for his master study.
He used to work in various projects in different domains, namely e-government projects for taxation and e-services security, global wide e-payment gateway for online gaming, logistics system for global supply chain management, work flow and business process for investment, enterprise knowledge portal, data warehousing for dashboard and etc.
Brandon has been a full time and adjunct lecturer for local IHL as well as several oversea universities. He taught subjects for courses in various areas, including Knowledge Management Techniques, Business Intelligence, Enterprise Application Development, Data Structure and Algorithm, Geospatial Information System and Technology for Mobility, Enterprise Resource Planning, Business Processes, System/Business Analysis and Design, Database, Cyber Forensic, and others.