Executive Certificate in Successful Data Transformation for the Logistics Sector

Analytics & Tech
Supply Chain Management

Next Intake: 7 Feb 2025 (Fri)

Basic
SkillsFuture

This course is conducted in-person.

Next course starts on

7 Feb 2025 (Fri) See Full Schedule

Fee

SGD5,450* (as low as SGD635 after maximum funding) Learn More

Duration

5 days
Weekdays (9am - 5pm)

Level

Basic

Who Should Attend

Business owners, executives, operations, or any job role in the transport or logistics industry who would like to learn about data transformation to apply the knowledge in a new data related role within the company to drive business growth.

PREREQUISITES

Participants should have basic IT application knowledge such as Microsoft Office.

Overview

Companies who are embarking on a digitalisation journey to keep up with the evolving digital landscape needs to learn how to harness the power of data to make informed decisions for the business. With transactions of data exchanged in the logistics sector on a daily basis, equipping yourself with data skills and knowledge is now essential to be at the forefront of your sector.

SMU Academy (SMUA), PricewaterhouseCoopers (PwC), and The Logistics Academy (TLA) have come together to provide an opportunity for the logistics sector to embark on a journey to elevate your company through the understanding of data as a critical enabler of business growth.

Why Join This Course

Career Conversion Programme (CCP)

The Career Conversion Programme (CCP) by Workforce Singapore (WSG) helps mid-career or newly hired individuals to undergo skills conversion and move into roles with good prospects and opportunities for progression. This course is applicable for the CCP and the company has to sponsor the employees to be eligible to apply for the CCP grant. Upon the individual’s completion of this course, the individual will have to apply the skills and knowledge learned into the redesigned or new role according to the developed OJT training plan. Individuals who fulfil the criteria will be able to receive 3 – 6 months’ salary support after completing the OJT plan.

For details and eligibility for WSG CCP programme, please visit website

For applicants (employer-sponsored) interested on the CCP programme:

Apply at least 4 weeks before course commencement to allow lead time for WSG’s approval. CCP application and OJT templates can be downloaded from SMU Portal.
Upon completion of the course, participants will be offered additional support via an optional 1-hour session with PwC to discuss on their progress of their on-the-job training plan and use cases, seek advice, discuss challenges faced or explore future initiatives or growth opportunities within the organisations.
Participants MUST apply for the course first before submitting their CCP application to WSG.
Note that CCP applications (including processing of salary support) is fully administered by WSG. Applicants need to fulfil all criteria listed and submission approved by WSG before receiving the salary support.

CCP applications must be submitted to: laurentia_ho@wsg.gov.sg

Salary Support for CCP (for employers who have applied under WSG CCP)

Programme Timeline

Programme Partner

Learning Objectives

At the end of the 5-day course, participants will be able to:

Understand basic critical data elements, data governance concepts and the data roles and responsibilities across data life cycle
Gain insights into challenges, trends and business benefits that drive the need for good data quality
Know the importance of data privacy and common privacy regulations
Understand basic data classification and processing concepts
Understand the transport and logistics data universe, its different areas and terminologies and business problems
Understand the common challenges and success to apply techniques for data requirements writing to sample business scenarios
Know the different ways an organisation can monetise and share its data, and some real-life examples
Understand the benefits and risks associated with data monetisation and sharing
Apply problem solving skills necessary for data and analytics
Learn about the different self-service digital and data tools for transformation

Topic/Structure

Module	Synopsis
Module 1: Data governance	Collation and exchange of data among the different personas and organisations occur in day-to-day operations such as invoice, delivery note, purchase order etc. Proper data governance should be implemented when handling these data to ensure adherence to the organisation’s policies and quality in producing the data. This module explains the roles, policies, standards, and processes for managing and using data effectively and securely in an organisation. Data governance Critical data elements Data roles and responsibilities Data quality management
Module 2: Data privacy and protection	Introduction to the different data classification will enable understanding of the different types of data in an organisation. This ensures data privacy compliance to PDPA requirements to prevent any data breaches or leakages that could impact the organisation. This module defines who can access data policies, processes and tools for collecting, storing, managing, and sharing data to prevent unlawful access towards sensitive data (e.g., customer’s personal data such as delivery address, purchase history etc.). Data privacy principles Data classifications Sharing of available industry programmes for data privacy and protection Risks, compliance and ethics associated with data protection Data protection and breach management
Module 3: Data-driven decision making	Analysing the right data with adequate quality allows organisations to make strategic decisions. This module introduces data and analytics, its benefits and challenges, as well as tips and tricks from business problem statements or use cases to data requirements. Topics include:   Differentiating domains such as data management, data governance, and data science  Discovering business problems and translating these into use cases, thereafter, arriving at data and analytics solutions  Common pitfalls
Module 4: Data monetisation and sharing	Leveraging data that is available allow organisations to understand customer behaviour and supplier capabilities. This results in a competitive advantage as the organisation can expand/create products or services to connect with other partners digitally, boosting operational efficiency and fostering growth in the logistics sector. This module explains the drivers and techniques for data monetisation and data sharing, and factors for consideration to value and share data safely Introduction to data monetisation and data sharing Data monetisation techniques Data sharing models and legal and regulatory considerations Data monetisation use cases and data sharing best practices Target Operating Model for data sharing
Module 5: Data analytics	Data is the foundation for analytical decisions and should be harnessed and utilised to make strategic decisions for the organisation. Data from operations can be analysed to provide insights and enable near real-time analytics for better planning of delivery of goods and services. This will be a highly interactive and hands-on session to test the participants understanding across Modules 1 to 4, including how data and analytics could transform their organisations and industry. Topics include:  Hands on experience in some of the self-service digital and data tools Case studies of where analytics has transformed organisations

Assessment

As part of the requirement for SkillsFuture Singapore, there will be an assessment conducted at the end of the course. The mode of assessment, which is up to the trainer’s discretion, may be an online quiz, a presentation or based on classroom exercises.

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

Fee Table

COMPANY-SPONSORED

PARTICIPANT PROFILE

SELF-SPONSORED

SME

NON-SME

Singapore Citizen < 40 years old

Permanent Resident

LTVP+

$1,635

(After SSG Funding 70%)

$635

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

$1,635

(After SSG Funding 70%)

Singapore Citizen ≥ 40 years old

$635

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

$635

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

$635

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

International Participant

$5,450

(No Funding)

$5,450

(No Funding)

$5,450

(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 will be able to enjoy ETSS funding only if the company's SME's status has been approved. To verify your SME's status, please click here.

Please click here for more information on ETSS.

Absentee Payroll