Analytics for Decision-Making (ANL203)

Objectives

A. Knowledge and Understanding (Theory Component)

By the end of this course, you should be able to:

• Identify key business problems and critical assumptions for business analytics
• Explain the entire process of developing useful analytics results from data

B. Key Skills (Practical Component)

By the end of this course, you should be able to:

• Prepare raw data in a form suitable for analysis
• Construct predictive models using appropriate analytics software
• Evaluate the performance of predictive models
• Analyse, interpret and deploy the results or outputs of predictive models

Who Should Attend

This course is designed for professionals and students who want to use data analytics to support effective business decision-making. It is suitable for individuals with limited analytics experience who wish to develop practical skills in interpreting data, identifying insights, and translating analytics results into actionable business decisions across different functional areas.

Relevance of Course to employment/upskilling/reskilling

This course equips learners with analytics skills for decision-making that are highly sought after in analytics and business roles. By strengthening their ability to apply analytical methods to evaluate options and support managerial decisions, participants enhance employability, support career transitions, and stay competitive in organisations that rely on analytics to guide decision-making.

Schedule

Assessments

The overall course grade is determined by

• Participation (including an in-class assessment in the form of an online test in Seminar 6) – 10%
• Tutor-marked assignment (TMA) – 20%
• Group-based assignment (GBA) – 20%
• End-Of-Course assessment (ECA) – 50%

Requirements

• Diploma or an equivalent qualification from a recognised institution

About the Trainers

• Chua Poh Chai has more than 10 years working for international and local banks, performing Credit Portfolio Reviews and Stress Testing. He went through the 2006/7 US Subprime Mortgage and the 2014/15 Oil and Gas crises. Working closely with the banks’ credit specialists, he learnt a lot from their vast experience and world views. Understanding the needs and pain points of the credit specialists, he founded a fintech startup in 2019 to build early warning systems to identify early distress in companies using Artificial Intelligence. This will help reduce the credit losses for banks and financial institutions.


• Adam Wong is a Senior Analytics Lead and experienced trainer with over a decade of experience in data analytics, business intelligence, and applied data science. He leads organisation-wide analytics initiatives covering data engineering, dashboards, predictive analytics, and generative AI applications. Adam specialises in training adult learners and working professionals, focusing on practical, job-ready skills through hands-on learning and real-world use cases. He has taught analytics and data mining courses covering data visualisation, predictive modelling, clustering, and analytics storytelling. Known for his clear, structured teaching approach, Adam helps learners translate complex data concepts into actionable insights, while integrating data governance, ethics, and PDPA awareness into real-world analytics practice.


• Dr. Wang Peng is a Lecturer in the School of Business at the Singapore University of Social Sciences. His research focuses on optimizing resource allocation and workforce management in service and healthcare systems, with an emphasis on improving operational efficiency and decision-making under real-world constraints. His work applies analytical and quantitative approaches to address practical challenges faced by service organizations and healthcare providers.


• Dr. Tony Jin Dayu is CEO and Co-founder of BestTop Consulting and Country Manager of TalentLink Pte Ltd. Over the years, he oversees the business development and operations of BestTop and TalentLink. In the meantime, he provides career guidelines and resume critique services to students and fresh graduates. Prior to his commitment to BestTop and TalentLink, he served as Associate at Royal Bank of Scotland for 3 years. Started from being an intern and graduate trainee at the bank, Tony has experiences working in different roles in RBS, such as Treasury and Rates Middle Office throughout the years. Tony holds a Doctoral Degree gained from National University of Singapore in Industrial System Engineering in 2012. Other than that, he was awarded Bachelor of Engineering from Shanghai Jiao Tong University in 2008.


• Timothy Ow is a business analytics practitioner and educator with over 15 years of experience using data, analytics, and AI to drive real-world business decisions. He has led regional analytics and digital transformation initiatives for leading FMCG and consumer companies, partnering closely with senior leaders across sales, marketing, and operations. His teaching is highly practical and case-driven, combining real industry examples, proven frameworks, and hands-on tools to help working professionals become confident, data-driven decision makers.


• Dr Goh Shao Hung is a consultant and educator with 20 years of experience in the supply chain industry. His work lies at the intersection of operations, data, finance, and strategy, with consulting engagements covering regional distribution networks, ASEAN cross-border logistics, airport logistics hubs, and e-commerce fulfilment. Shao Hung teaches Business Analytics, Logistics, Transportation, and Operations Management. His teaching emphasises analytical thinking, data-driven decision-making, and translating quantitative insights into managerial action. He has received multiple teaching awards from the Singapore Management University, the National University of Singapore, and the Singapore University of Social Sciences. Prior to his consulting and academic roles, Shao Hung served as Regional Manager for Strategy Implementation at DHL Supply Chain Asia Pacific, where he led transformation initiatives across a US$3 billion region. His portfolio included digitalisation, strategic growth, organisational restructuring, and mergers and acquisitions, often leveraging data to align operational performance with strategic objectives. He also facilitated executive workshops on innovation and integrated business planning across Asia. Earlier in his career, Shao Hung worked at a global container shipping company, focusing on demand forecasting and data-driven logistics solutions. Shao Hung holds a PhD in Management Science from Lancaster University, an MSc in Logistics and Supply Chain Management from the National University of Singapore, and an MSc in Industrial Engineering from the Georgia Institute of Technology. He is also a CFA (Chartered Financial Analyst) charterholder.

Course Fees, payment and refund policy

¹ Mid-Career Enhanced Subsidy: Singaporeans aged 40 and above may enjoy subsidies up to 90% of the course fees.
² Enhanced Training Support for SMEs: SME-sponsored employees (Singapore citizens and PRs) aged 21 and above may enjoy subsidies up to 90% of the course fees.

For the various payment mode, please refer here.
For the refund policy, please refer here. 

A written request for a refund must be submitted and is subject to approval. If written notice of withdrawal is given within the cooling off period¹ and before the course start date, a full refund of the fees paid less an administrative charge of $110.00 (exclusive of GST) will be given. No refund will be given for withdrawal thereafter.

¹The cooling off period is defined as 7 working days after payment of course fee.

Completion Requirement

• Attendance: Participants must achieve at least 75% attendance.
• Assessment: Participants must sit and pass all prescribed assessments and submit all course work stipulated in the section Assessments.
• Evaluation: Participants are required to complete course evaluations conducted by SUSS and SSG at the end of the training.

For clarification, please contact the SUSS Academy via the following:
Telephone: +65 6248 0263
Email: [email protected]