Key Takeaways
By the conclusion of the course, participants will have acquired the following skills and insights:
- Gain insight into the latest advancements in Customer Relationship Management (CRM) and apply advanced customer analytics methodologies for making personalised recommendations
- Learn how to estimate Customer Lifetime Value (CLV) and customer revenue.
- Develop and implement propensity and attrition models; and implement preventive measures to maintain customer loyalty.
- Explore the applications of Generative AI techniques in customer analytics and insights, leading to more efficient customer service to improve customer satisfaction
Who Should Attend
- Marketing practitioners and data analysts preferably with more than two years of experience
- Professionals who have an active interest in customer analytics
- Marketing Managers, CRM Managers, Senior Marketing Analysts and Marketing Analysts
- Business Development Managers, Senior Business Analysts and Business Analysts
- Data Managers, Senior Data Analysts, Senior Information Analysts, and Information Analysts
Prerequisites
- Participants also need to have a strong interest and knowledge in basic predictive modelling and be familiar with R/Python. The workshops will be conducted in R/Python and JMP.
What to Bring
No printed copies of course materials are issued.
Participants must bring their internet-enabled computing device (laptops, tablet etc) with power charger to access and download course materials.
If you are bringing a laptop, please see below for the tech specs:
|
|
Minimum
|
Recommended
|
|
Operating Systems
|
• Windows 7, 8, 10 or
• Mac OS
|
Laptop running the latest
version of either Windows or
Mac OS
|
|
System Type
|
32-bit
|
64-bit
|
|
Memory
|
8 GB RAM
|
16+ GB RAM
|
|
Hard Drive
|
256 GB disk size
|
|
|
Others
|
• An internet connection – broadband wired or wireless
• Installation permissions (non-company laptops)
• Keyboard
• Mouse/Trackpad
• Display
• Power adapter (laptop battery might run out) |
DirectX 10 graphics card for graphics hardware acceleration
|
Additional Software Requirements:
• JMP
• R / Python
What Will Be Covered
Throughout the course, participants will explore the following key areas:
- Advanced CRM and Customer Analytics: Stay updated on the latest developments in CRM and understand how advanced customer analytics can be effectively utilised in customer targeting and developing personalized recommendations to customers.
- Customer Lifetime Value (CLV) and Revenue Calculation: Take a deep dive into CLV and revenue calculation methodologies. Learn how to accurately assess the long-term value of customers and their contribution to overall revenue, enabling more informed decision-making and resource allocation.
- Propensity and Attrition Modeling: Explore Propensity Modeling techniques to optimise campaign targeting and increase response rates; understand how to predict and prevent customer churn by implementing proactive retention strategies based on predictive analytics.
- Apply Generative AI techniques including Retrieval Augmented Generation (RAG) and LangChain to build up chatbots for customer service in order to enhance customer satisfaction.
Fees & Subsidies
Fees for 2024
| |
Full Fee |
Singaporeans & PRs
(self-sponsored) |
| Full course fee |
S$2700 |
S$2700 |
| ISS Subsidy |
- |
(S$270) |
| Nett course fee |
S$2700 |
S$2430 |
| 9% GST on nett course fee |
S$243 |
S$218.70 |
| Total nett course fee payable, including GST |
S$2943 |
S$2648.70 |
Note:
- All fees and subsidies are valid from January 2024, unless otherwise advised.
- All self-sponsored Singaporeans aged 25 and above can use their SkillsFuture Credit to pay for course fees. For more information about SkillsFuture Credit, click here.
- From 1st January 2024, the GST will be increased to 9%.
Certificate
Certificate of Completion
Participants have to meet a minimum attendance rate of 75% and are required to pass the assessment to be issued a Certificate of Completion.
Join Us
Register now and master advanced customer analytics skills and lead the way in Data-Driven Customer Engagement
Preparing for Your Course
NUS-ISS Course Registration Terms and Conditions
Find out more.
NUS-ISS and Learner’s Commitment and Responsibilities
Find out more.
WIFI Access
WIFI access will be made available to participants.
Venue
NUS-ISS
25 Heng Mui Keng Terrace
Singapore 119615
Click HERE for directions to NUS-ISS
In the event of a change of venue, participants are advised to refer to the acceptance email sent one week prior to the commencement date.
Course Confirmation
All classes are subject to confirmation and NUS-ISS will send an acceptance email to participants one week prior to the commencement date. Confirmed registrants are to attend and complete all lectures, class exercises, workshops and assessments (where applicable). Additionally, all responses to feedbacks and surveys conducted by NUS-ISS and its partners must be submitted. All training and assessments will be delivered as described in the course webpage.
General Enquiry
Please feel free to write to ask-iss@nus.edu.sg if you have any enquiry or feedback.