Digital Transformation and Innovation

Course Info

Date: Oct-27-2025

Length: 2 Weeks

City: Kuala Lumpur

Fees: 7,650

Type: In Classroom

Available Dates

  • Jan-27-2025

    Kuala Lumpur

  • Apr-28-2025

    Kuala Lumpur

  • July-28-2025

    Kuala Lumpur

  • Oct-27-2025

    Kuala Lumpur

Dates in Other Venues

  • Dec-23-2024

    Paris

  • Dec-23-2024

    Dubai

  • Dec-30-2024

    Singapore

  • Dec-30-2024

    Barcelona

  • Jan-27-2025

    Istanbul

  • Jan-27-2025

    Paris

  • Jan-27-2025

    Barcelona

  • Jan-27-2025

    Amsterdam

  • Jan-27-2025

    Singapore

  • Feb-03-2025

    Dubai

  • Feb-03-2025

    London

  • Mar-17-2025

    Dubai

  • Mar-17-2025

    London

  • Apr-28-2025

    Amsterdam

  • Apr-28-2025

    Barcelona

  • Apr-28-2025

    Paris

  • Apr-28-2025

    Istanbul

  • Apr-28-2025

    Singapore

  • May-12-2025

    London

  • May-12-2025

    Dubai

  • July-28-2025

    Istanbul

  • July-28-2025

    Barcelona

  • July-28-2025

    Paris

  • July-28-2025

    Singapore

  • July-28-2025

    Amsterdam

  • Aug-04-2025

    Dubai

  • Aug-04-2025

    London

  • Oct-27-2025

    Barcelona

  • Oct-27-2025

    Singapore

  • Oct-27-2025

    Dubai

  • Oct-27-2025

    Paris

  • Oct-27-2025

    Amsterdam

  • Oct-27-2025

    Istanbul

  • Oct-27-2025

    London

  • Dec-22-2025

    Dubai

  • Dec-22-2025

    London

Course Details

Course Outline

10 days course

Living in a Digital World 
 
  • What is Digital Transformation?
  • Tradition Linear Value Chain
  • Homing and Switching Costs
  • Two Sided-Networks
Digital Transformation Domains
 
  • Customers
  • Competition
  • Data
  • Innovation
  • Value
Overview of Customer Networks
 
  • Customer Network Paradigm
  • Marketing Funnel

 

Introduction to Digital Customer Behaviours
 
  • Access Strategy
  • Engage Strategy
  • Customise Strategy
Platform Business Models
 
  • Overview of Platforms
  • Platforms Types
  • Platform Business Model Map
Artificial Intelligence (AI) in Business
 
  • Basics of Machine Learning (ML)
  • How to Apply AI and ML in Business
Basics of Big Data at Work
 
  • New Unstructured Data Sources
  • Unstructured Data Tools
  • Templates of Value
Business Innovation Through Experimentation
 
  • Principles of Experimentation
  • Convergent Experimental Method
  • Divergent Experimental Method
  • Value Proposition Adaptation
Planning & Preparing for Transformation
 
  • Taking stock of a Businesses’ current position
  • Defining the End State
  • Building a Plan
  • Delegate Self-analysis
  • Key principles; Do’s & Do Not’s
  • Building the Guiding Team

 

Aligning Goals, People and Systems
 
  • Getting All on Board
  • Dealing with Resistance
  • Managing People through Change
  • Project and Programme Management
  • Monitoring & Control
  • Sustainment

 

Executing on Digital

 

  • How to execute your digital strategy 
  • Strategic agility 
  • Data culture
  • Resource accumulation 
  • Executing on AI strategies

Course Video