Executive Certificate in Successful Data Transformation for the Logistics Sector
- Analytics & Tech
- Supply Chain Management
This course is conducted in-person.
5 days
Weekdays (9am - 5pm)
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.
Salary Support for CCP (for employers who have applied under WSG CCP)
Programme Timeline
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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.
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| 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.).
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| 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:
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| 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
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| 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:
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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% |
$1,635 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$635 (After SSG Funding 70% |
$635 (After SSG Funding 70% |
$635 (After SSG Funding 70% |
|
International Participant |
$5,450 (No Funding) |
$5,450 (No Funding) |
$5,450 (No Funding) |
All prices include 9% GST
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
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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
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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
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)
Intake Information
This course is conducted in-person.
| Course | Dates |
|---|---|
| INTAKE 1 | 7, 14, 21, 28 Feb, 7 Mar 2024 [Open for Registration] |
*Online registration will close 5 calendar days before the course start date
Trainers
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