Big Data and Decision Making

"Understanding technologiestoday to help your companyachieve a better tomorrow."

Representative Faculty

Professor Alain Chong

PhDs University of Nottingham, UK/ Multimedia University,Malaysia/ Professor of Information Systems/ Dean of Graduate School

Prior to joining University of Nottingham Ningbo China, he was a postdoctoral research fellow in the Department of Industrial and Systems Engineering at the Hong Kong Polytechnic University. His fellowship was funded by the competitive Hong Kong Polytechnic University Postdoctoral Fellowships Scheme. Alain is also a visiting fellow at Greenwich University (U.K.) and SIRC Research Associate at Nanyang Technological University, Singapore. 

In addition, he has offered executive education on information systems, e-commerce and big data for Malaysia National Research Center, Chinese government officials and banker, and other organizations. Alain is the recipient of the 2012. Ten Outstanding Young Malaysian Award (conferred by Junior Chambers International).

    

This module provides an overview of the characteristics of digitaleconomy and how managers can make use of various e-businessstrategies such as versioning, online pricing, and personalization tohelp improve their business performances. Big data concepts willbe introduced and trainees will learn how to assemble and lead adata science enterprise even they have never worked in data sciencebefore. Trainees will be introduced to big data analytics and learnhow data scientists describe, data set and make appropriate businessstrategy recommendations, predict, and inform business decisions indifferent areas of businesses such as marketing, human resource, andoperations. Relevant consumer theories that can inform and guide dataanalytic strategies will also be discussed.

Who should attend

• Executives, senior and middle managers
• Stakeholders
• Business Analyst

After completion of the module, trainees should be able to:

• Describe the role data science plays in various contexts
• Understand the key terms and tools used by data scientists
• Identify a successful and an unsuccessful data science project
• Understand how data is used to describe, explain, and predictbusiness activities and performances
• Develop best practices for using data to prescribe more effectivebusiness strategies
• Use big data to optimize marketing, maximize revenue, makeoperations efficient, and make hiring and management decisions
• Understand patterns and regularities in consumer behaviour onmajor online channels
• Understand relevant data analytical methods and techniques thatcan be used to analyse consumer behaviour
• Understand opportunities of leveraging emerging technologies toinfluence consumer behaviour
• Formulate appropriate strategies and interventions to influenceconsumer behaviour that are theory-guided and culturally-sensitive

• From information technology to data technology – howto formulate strategies in digital economy
• Big Data concepts and applications
• Data Analytics – making data driven business decisions• Data Analytics Simulation – strategic decisions making
• User web behaviour and analytics
• Consumers’ social media behaviour and analytics
• Consumer behaviour in using mobile and emergingtechnologies
• The roles of Blockchain and Artificial Intelligence inanalytics and businesses
• Opportunities from emerging digital technologies

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