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Data Analytics: Harnessing Data for Quality Service Delivery, Value Enhancement & Outcomes

  • Analytics & Tech
  • Innovation & Business Improvement
Next Intake: 4 Sep 2025 (Thu)
  • Basic
  • SkillsFuture
  • Short Courses
  • This module is part of Advanced Certificate in Service Leadership & Innovation

This programme is conducted on-campus.

Next course starts on
4 Sep 2025 (Thu) See Full Schedule
Fee
SGD2,180* (as low as SGD254 after maximum funding) Learn More
Duration

2 days
Weekdays (9am - 6pm)

Level
Basic
Venue

Singapore Management University

Who Should Attend

  • Executives who develop and lead their organisation’s service quality and customer-centric initiatives
  • Managers in the fields of customer experience, quality assurance, frontline operations, customer analytics and insights

Overview

This workshop will equip participants with the knowledge and skills needed to transform data into useful insights for quality service delivery, improve customers’ perceived value, and advance business outcomes. Participants will also be exposed to relevant frameworks to support the development of better strategies through data analysis.

As products and services becoming increasingly homogeneous, companies seek to outdo their competitors by focusing on service excellence and value. However, service and value related decisions cannot be made by relying on prior experience and gut feel. Managers must harness data within relevant frameworks to make better decisions. 

This module is available on a standalone basis.

Learning Objectives

  • Recognise the need to focus on service excellence and value
  • Recognise data analytics as a critical tool to boost service delivery and to enhance value
  • Understand key service-related analytical frameworks in the field of customer service, value, satisfaction and loyalty
  • Gain knowledge of collecting, analysing and interpreting customer and marketing metrics
  • Translate customer and marketing data into insights to achieve better marketplace outcomes  
  • Articulate the analysis results for management communication

Topic/Structure

  • Basic Introductions to Data
  • Foundations of Data Analytics
  • Service quality insights
  • Value insights
  • Loyalty insights

Assessment

As part of the requirement for SkillsFuture Singapore, there will be an assessment conducted at the end of the course. 

Participants are required to attain a minimum of 75% attendance and pass the associated assessment in order to receive a digital Certificate of Completion issued by Singapore Management University.

Calculate Programme Fee

Click here for more infomation about SkillsFuture Credits (Not applicable for Company-sponsored participants)
For PSEA - Available only for Singapore Citizen below 31 (Not applicable for Company-sponsored participants)

Total Program Fee: SGD0.00

Fee Table

COMPANY-SPONSORED

PARTICIPANT PROFILE

SELF-SPONSORED

SME

NON-SME

Singapore Citizen < 40 years old

Permanent Resident

LTVP+

$654

(After SSG Funding 70%)

$254

(After SSG Funding 70%
+ ETSS Funding 20%)

$654

(After SSG Funding 70%)

Singapore Citizen ≥ 40 years old

$254

(After SSG Funding 70%
+ MCES Funding 20%)

$254

(After SSG Funding 70%
+ ETSS Funding 20%)

$254

(After SSG Funding 70%
+ MCES Funding 20%)

International Participant

$2,180

(No Funding)

$2,180

(No Funding)

$2,180

(No Funding)

All prices include 9% GST

Please note that the programme fees are subject to change without prior notice.

Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.

Self Sponsored

SkillsFuture Credit

Singapore Citizens aged 25 and above may use their SkillsFuture Credits to pay for the course fees. The credits may be used on top of existing course fee funding.

This is only applicable to self-sponsored participants. Application to utilise SkillsFuture Credits can be submitted when making payment for the course via the SMU Academy TMS Portal, and can only be made within 60 days of course start date.

Please click here for more information on the SkillsFuture Credit. For help in submitting an SFC claim, you may wish to refer to our step-by-step guide on claiming SkillsFuture Credits (Individual).

Workfare Skills Support Scheme

From 1 July 2023, the Workfare Skills Support (WSS) scheme has been enhanced. Please click here for more details.

Company Sponsored

Enhanced Training Support for SMEs (ETSS)

  • Organisation must be registered or incorporated in Singapore
  • Employment size of not more than 200 or with annual sales turnover of not more than $100 million
  • Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
  • Trainees must be Singapore Citizens or Singapore Permanent Residents
  • Trainees must not be a full-time national serviceman
  • Trainees are eligible for ETSS funding only if their company's SME status is approved prior to the course commencement date. To verify your SME's status, please click here. 

Please click here for more information on ETSS.

Absentee Payroll

Companies who sponsor their employees for the course may apply for Absentee Payroll here. For more information, please refer to:

AP Guide (Non-SME Companies)
Declaration Guide (SME Companies)

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Trainers

Dr Raymond Teo
Adjunct Faculty of Marketing
Singapore Management University
Dr Raymond Teo
Adjunct Faculty of Marketing
Singapore Management University
Dr Raymond is a leading figure in analytics, specialising in customer, marketing, human capital, healthcare, and education. He is a sought-after speaker at international conferences and contributes regularly to publications like the Singapore Business Review. As CEO of Blue-dge Analytics and Consulting, he leads a team providing consultancy and advanced research services, recognised as "best-in-class" by London Weekly Telegraph. Dr Teo received the Spirit of Enterprise award in 2009. With a Ph.D. from the University of Western Australia and an MBA from the University of Strathclyde, he teaches at Singapore Management University, earning consistent recognition for his teaching excellence. His expertise extends to advising on organisational strategies across industries.

Testimonials

The workshop provides good understanding of the various data modelling and the appropriate statistical tools and enhances my understanding of survey results /reports.
Ms Agnes Wan
Director &amp; CHRO, Human Resources &amp; Organisation Development
LASALLE College of the Arts
Foundational concepts were explained well and the Q&A during sessions were excellent!
Ms Jasmine Tan
Business Manager
MIMS Pte Ltd
My reason for attending the course was to know more about what data can do and how it can be used in the industry. I now have a betterunderstanding of the application of data analytics. Dr Teo drew so many wonderful diagrams throughout the class. The diagrams were really good and they were very useful in explaining the concepts, helping us to understand what he was saying.
Mr Por Hau Joo
Associate Lecturer
SIM Global Education

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