NUS
 
ISS
 
NUS ISS

Steering Platform Business with Data

Explore the strategic logic and data capabilities that drive the success of multi-sided platforms.

Overview

Part of -
Duration 3 days
Course Time
Enquiry Please contact ask-iss@nus.edu.sg for more details.
Multi-sided platforms have become a dominant business model in the modern digital economy. Digital-native platform companies have transformed traditional market dynamics across regions and sectors, while established enterprises are increasingly launching marketplace platforms to connect consumers, service providers and ecosystem partners within unified digital environments.

Yet, many data professionals lack a structured understanding of the strategic logic that underpins these businesses, and many business professionals do not appreciate the data capabilities that make platform strategies work in practice. Without understanding how network effects are sustained through improved matching and recommendations, how monetisation choices shape data collection, or how launch strategies rely on real-time experimentation and diagnostics, teams often build strategies they cannot execute or analytics that miss core business priorities.
Purpose-built for data professionals, this course ensures every business concept is paired directly with its data strategy implication. You will explore how data architecture supports network liquidity, how pricing analytics inform revenue models, and how data-driven experimentation validates competitive positioning, laying the groundwork for subsequent technical execution.

Key Takeaways

At the end of the course, you are expected to be able to:

  • Analyse how network effects and platform typologies shape data strategy and business outcomes.
  • Evaluate platform monetisation models and pricing strategies, including the role of analytics capabilities that enable them.
  • Assess launch strategies, regulatory dynamics, and competitive positioning, including the data and experimentation requirements that support them.


Who Should Attend

This course is suitable for:

  • Early-career data professionals seeking a strong understanding of platform business logic to make better analytics decisions.
  • Product managers, business analysts, and analytics professionals transitioning into platform-focused roles.
  • Technical professionals supporting platform products who need to connect business strategy with analytical priorities.


Pre-requisites
Experience applying analytics or AI in enterprise settings would be advantageous.

 

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




What Will Be Covered

  • Explore the foundational economics and structural dynamics of digital ecosystems.
    • Participants will examine network effects, liquidity, critical mass thresholds, and winner-takes-all dynamics. You will learn how data collection and matching quality improve interactions and sustain network effects. Platform typologies, such as marketplaces and innovation platforms, and how they determine data architecture, discovery system design, and operational analytics needs will also be covered.
  • Examine how platforms generate revenue and overcome the initial challenges of building a user base.
    • Participants will evaluate pricing strategies, subsidy-side economics, take rates, and the role of personalisation in monetisation effectiveness. You will also analyse ignition strategies (seeding, piggybacking, marquee strategies) and the data signals required for validating ignition success.
  • Practicalities of going to market, operating within complex environments, and securing market position.
    • Participants will dive into pre-launch strategies, metrics for validating product-market fit, and experimentation. The curriculum concludes with an examination of antitrust principles, global regulatory landscapes, competitive strategies under regulation, and data governance considerations as competitive requirements.


Fees & Subsidies

SkillsFuture Singapore (SSG) Funding 2026 (Effective 1 July)

Fee ComponentFull Course FeesSingapore Citizens & PRs Aged 21 Years and Above (70% Funding Support)Singapore Citizens Aged 40 Years and Above (90% Funding Support)Enhanced Training Support for SMEs (ETSS) (90% Funding Support)
Full Course FeeS$2,850.00S$2,850.00S$2,850.00S$2,850.00
SSG Funding-S$1,995.00S$1,995.00S$1,995.00
Nett Course FeeS$2,850.00S$855.00S$855.00S$855.00
9% GST on Nett Course FeeS$256.50S$76.95S$76.95S$76.95
Additional Funding if Eligible Under Various Schemes--S$570.00S$570.00
Total Nett Course Fee Payable, Including GSTS$3,106.50S$931.95S$361.95S$361.95

 

Note:

  1. SSG Funding is available to qualified individuals, subject to meeting the attendance requirement and passing of assessment.
  2. 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.
  3. SME fees are applicable only to participants who are sponsored by small and medium enterprises.
  4. SSG funding is subjected to availability.


loading

Certificate

The ISS Certificate of Completion will be issued to participants who have attended at least 75% of the course and pass the required assessments.


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.



Course Resources

Develop your Career in the Following
Training Roadmap(s)

Please click on the discipline(s) to view the training roadmap of related courses to assess your training needs and goals.

Data Science

Driving business decisions using insights from Data

Read More

You Might be Interested in...

A+
A-
Scrolltop
More than one Google Analytics scripts are registered. Please verify your pages and templates.