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IIM Indore | Chief Digital Transformation Officer Programme (Batch 2)

New Age Contextual and Contemporary Curriculum in Digital Transformation

Course Snapshot

  • FeeINR 3,27,500 + GST
  • Work Experience8 - 30 Years
  • Duration12 Months
  • Delivery MethodCampus

Course Detail

Programme Overview:

In today's fast-paced digital landscape, the Chief Digital Transformation Officer (CDTO) role has become crucial for organizations striving to stay competitive. The Chief Digital Transformation Officer Programme is designed to equip business leaders with the knowledge and skills to spearhead digital transformation initiatives.

This programme offers participants the tools to harness the power of emerging technologies like artificial intelligence, big data, and the Internet of Things (IoT). By mastering these technologies, CDTOs can drive innovation, optimize business operations, and enhance customer experiences. As e-commerce, remote work, and digital-first models reshape industries, this programme prepares leaders to adapt and lead.

Participants of this programme will develop strategic expertise to manage digital change, ensuring their organizations not only survive but thrive in the digital era.

Learning Outcomes:

  • Utilizing a proven pedagogy developed by the esteemed faculty at IIM-I, refined through industry Programmes offered over the past two decades.
  • Participants will experience 3 days of Intensive Learning at the IIM Indore Campus, situated atop a scenic hillock conducive to contemplative learning.
  • The Programme incorporates insightful use cases and a discussion-led, hands-on learning approach, culminating in a Capstone Project.

Desired Candidate Profile

  • 50% in UG/PG in any discipline.
  • Minimum work experience of 8 years.

Course Modules

Module 1- Role of the CTO, CDO & CDTO

  • Mindset of a CTO & CDO
  • Who is a CTO & CDO
  • CTO vs CIO vs CDO
  • CDTO vis-a-vis CEO and CFO
  • Difference between Digital Upgrade and Digital Transformation
  • Need to Focus on Both Digital and Transformation
  • Crafting a Compelling Digital Vision and Aligning The Top Team

Module 2 - Digital World, Age & Innovation

  • Digital World - Disruption and Opportunity
  • Digital Age - Key Effective Strategy & Support Functions
  • Digital Age - From Threat to Opportunity
  • Digital Innovation - Visioning & Leveraging Opportunities in
  • Digital Transformation
  • Mindsets of Innovation

Module 3 - Digital Transformation Value

  • Adoption issues in Organization
  • Value Chain Digitization
  • Value Capture & Value Creation
  • Blue Ocean Strategy

Module 4 - Digital Transformation Strategy

  • How to Execute Your Digital Strategy?
  • Strategic Agility & Data Culture
  • Implementation Frameworks & Strategies
  • Designing Information Capabilities for Competitive Advantage
  • Understanding Dynamics, Limitations, Challenges and Opportunities
  • of Business Models
  • Key components of Digital Transformation

Module 5 - Digital Transformation Models

  • Technology-Enabled Business Models: Platform Model
  • Technology-Enabled Business Models: Merchant Models and Sharing Economy

Module 6- Sustaining and Strengthening the Digital Transformation

  • Developing Digital Mindsets
  • Circular Economy
  • Change Management

Module 7 - Leading Myself, Teams & Organization in Digital Transformation

  • Leadership in Times of Disruption
  • Leadership Strategy & 5 Levels of Leadership
  • Challenges of Digitalisation and the Need for Innovative Leadership
  • Roles of Senior Leadership for Enabling Innovation
  • Social Networks and Enterprise 2.0
  • Creating Diverse Teams
  • Leadership Vs Management
  • Communicate for Action & Impact

Module 8 - Building Data Ecosystem for Digital Transformation

  • Advanced Data Analytics and Big Data
  • Social Computing & Cloud Computing
  • Blockchain
  • IOT
  • Leveraging Big Data, IoT and Cloud Computing for Business
  • Transformation and Competitive Advantage

Module 9 - AI: Strategies for Business Transformation: AI Technologies, Business Models for AI-Led Businesses

  • AI: An Overview & Technologies
  • Detailed Use Cases of AI Technologies
  • AI and Managerial Trade-offs
  • Setting up Stage for AI-led Business Transformation
  • Addressing Implementation Challenges
  • Business Models for AI-led Businesses I
  • Leadership in the Age of AI
  • Ethics, Privacy, Regulations in AI