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For more information about this programme, please contact:
Jessica Leong
Deputy Director
Telephone: (65) 6904 7249
Email: [email protected]
Business Analytics for Leaders: Leverage the Power of Data for Informed Strategic Decisions
The modern organisation has scores of data that are often under-utilised for business planning and market research opportunities. Our Business Analytics for Strategic Decisions programme is designed for middle to senior-level executives who need to understand how business analytics can create value for their organisations.
Designed for busy leaders, this short course in business analytics will equip you with the essential skills of drawing valuable insights from operational data to support decision-making, predict trends and identify revenue opportunities.
Learn to draw inferences from data using appropriate tools |  Convert data into actionable insights |
Embed business analytics into corporate strategy to enhance growth and profits |
- Gain practical insights on how to build and leverage a business analytics team.
- Understand the process of developing a strong business analytics case, from exploration of the data context to obtaining the explanatory or predictive results.
- Learn to investigate existing operational data and apply business analytics using real-life business data.
- Learn to ask the right questions and draw inferences from the data using appropriate tools.
- Examine how data modelling techniques can provide useful predictions such as pricing and profitability forecast and consumer trend analysis.
The programme will benefit executives from all backgrounds and industries. Typical participants are managers who are currently responsible or will be responsible for managing a functional area or department including those with roles in marketing, operations, human resources, information technology or research and development.
The two-day programme will be conducted using an interactive seminar-style approach, supported by relevant case studies, group breakout sessions and practice cases. You will have hands-on experience on applying analytics tools to solve business related issues.
| Overview | Topics Covered |
|---|---|
| Day 1: Embedding Business Analytics into Corporate Strategy |
|
| Day 2: Converting Data into Actionable Insights |
|
The Business Analytics for Strategic Decisions is a 2-day interactive programme with hands-on experience on analytical tools. You may indicate which dates you wish to sign up for when submitting your application.
Training is conducted
from 9am to 5pm daily unless specified otherwise.
Admission ongoing
11 - 12 Nov 2024 (Apply here)
NTU@one-north, Executive Centre
Address: 11 Slim Barracks Rise (off North Buona Vista Road), Singapore 138664
MRT: Buona Vista Station (Exit D)
Nanyang Executive Education reserves the right to change the date, venue and mode of delivery due to unforeseen circumstances or prevailing government advisory.
Admission closed
17 & 27 May 2024 (Fully subscribed)
24 & 25 Jun 2024 (Fully subscribed)
Full programme fee: S$ 2,600 (before GST)
Fees payable after SkillsFuture Singapore (SSG) funding:
| Programme Fee In SGD | |||
|---|---|---|---|
| Fees BEFORE funding & GST | Fees AFTER funding & 9% GST | ||
| Singapore Citizens (aged 21-39) / PR (aged ≥21) 70% Funding* | $2,600 | $850.20 | |
| Singapore Citizens (aged ≥40) MCES1* - up to 90% | $2,600 | $330.20 | |
| SME-sponsored Singapore Citizens / PR ETSS2 - up to 90% | $2,600 | $330.20 | |
| Participants without funding | $2,600 | $2,834.00 | |
* Applicable for both self-sponsored and company-sponsored participants.
1. For more information about the SkillsFuture Mid-career Enhanced Subsidy (MCES) scheme.
2. For more information about the Enhanced Training Support for Small & Medium Enterprises (ETSS) scheme.
SkillsFuture Credit
On top of the above funding, Singapore Citizens, aged 25 and above and self-sponsored may use their SkillsFuture Credit to defray part of the nett course fee.
Participants do not need to contact SkillsFuture to apply for funding prior to course registration. NTU will facilitate the funding paperwork for both self and company-sponsored participants. Participants will be invoiced the nett amount after funding and GST.
Funding Requirements:
- Participant must achieve at least 75% attendance for the programme.
- Participant must complete and pass all assignments / assessments as assigned by the trainer.
Professor Goh Kim Huat
Prof Goh received his Ph.D. in business administration with specialization in economics and information systems from the Carlson School of Management, University of Minnesota, Twin Cities. His research interests include electronic markets strategy, economic value of information technology investment, behavioral economics & information goods pricing, consumer behavior in information technology mediated environments, and examining the value of IT investments in firms and across industries.
He has published in top information systems journals such as MIS Quarterly, Information Systems Research, and Journal of Management Information Systems. He was awarded the Research Excellence Award by NBS in 2013 and ranked 16th globally in terms of research productivity from 2013 to 2015 by the Associate of Information Systems based on the number of publications in top information systems journals.
He was awarded the Teaching Excellence Award by NBS in 2010 and 2013 and 2016. He was also voted Teacher of the Year in 2015 for the MSc (Marketing and Consumer Insight) graduate programme and Nanyang Business School Teacher of the Year (Business) in 2016. In 2017 and 2018, he was awarded the University-wide Nanyang Education Award (NBS).
He was previously the co-Chair of the NTU Senate (2020 to 2022) and Academic Director for the Nanyang MBA program (2017 to 2023).
Dr. Neumann Chew C.H.
Senior Lecturer, Nanyang Business School, NTU Singapore
As the Senior Lecturer at NTU Nanyang Business School, Neumann teaches Analytics and Machine Learning. He had published the textbook Artificial Intelligence, Analytics and Data Science, currently used in undergraduate Analytics specialization and Masters of Business Analytics programme.
Neumann also leads Data Science/Machine Learning projects with companies. He was previously Principal and Head of Analytics at SAS Institute where he designed and lead advanced analytics solution for government agencies, banks, insurance companies, hospitals and large corporations. Prior to SAS Institute, he was Head of Research & Statistics at Ministry of Health, and Professor of Financial Mathematics in Dubai Academic City.
Please click here to read more about Dr Chew.
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