Nowadays most of the companies are focused on developing and implementing new enterprise strategies, in order to come up with the new challenges that appear in the global market. Despite their efforts and investment of time and money, they still struggle to demonstrate the business value gained from these efforts. This investment without measurable return pushed them to pivot their strategies to use data to drive the company growth. Hence, they started adopting new data strategies and leveraged new technologies such as Machine Learning (ML) and Artificial Intelligence (AI), in order to introduce new concepts inside their businesses such as data platforms, data products, etc., which will allow them to alleviate complex data problems and provide their business with scalable and flexible capabilities.
However, in order to disrupt previous approaches and transform their organization into a data-driven one, an internal product-driven culture needs to be developed, where data and analytics are properly exploited to address stakeholder demands, learn from feedback, and efficiently prioritize business value. By applying the concepts of Agile project and product management to data, they are now capable to achieve these goals, simplifying the complexity of the current technology landscape and providing the agility to meet the needs of the business, while also producing measurable results and promoting an enterprise-wide product cultural alignment.

The total learning hours for this Module amount to 125. These are distributed across the following categories:

  • Total Contact Hours: 25
  • Self-Study Hours: 25
  • Supervised Placement and Practice Hours: 13
  • Assessment Hours: 62

This Module carries a value of 5 ECTS.

Module-Specific Learner Skills:

At the end of the module/unit the learner will be able to

Integrate theory, research findings and practice for real-world problem solving.

  • What is Digital Transformation and how it affects businesses
  • What is Digital Workspace and how it supports strategic growth of enterprises
  • How IoT could drive business activities
  • How businesses could develop a Risk Management strategy
  • Which are the Software-Oriented strategies and architectures
  • What is an Operating Model and how it could be implemented

 

Competences:

At the end of the module/unit the learner will have acquired the responsibility and autonomy to:

Manages people and projects and demonstrates the ability to respond to the fast-changing business environment.

  • Lead digital transformation initiatives autonomously.
  • Demonstrate accountability for integrating digital tools for business optimization.
  • Act responsibly in managing change in a digital context.
  • Effectively manage people and projects, aligning strategies and execution with evolving digital and business environments.

Demonstrates autonomy in the direction of learning and a high level of understanding of learning processes.

  • Take responsibility for digital literacy and technology adoption.

 

Knowledge:

At the end of the module/unit the learner will have been exposed to the following:

Integrate forward-thinking concepts, standards, and managerial decision-making tools in the functional areas of management.

  • Critically evaluate the concept of Digital Transformation and analyze its impact on businesses.
  • Critique the Digital Workspace and evaluate how it supports the strategic growth of enterprises.
  • Examine how the Internet of Things (IoT) can drive and enhance business activities and innovation.
  • Choose the Operating Model and synthesize strategies for its effective implementation within organizations.

 

Skills:

At the end of the module/unit the learner will have acquired the following skills:

  • Digital literacy and technology adoption skills.
  • Change management and adaptation capabilities.
  • Innovation in a digital context.
  • Integration of digital tools for business optimization.
  • Increase adaptability and creativity in crafting innovative strategies for dynamic digital business environments.
  • Lead change management initiatives and adapt to organizational changes within digital business transformation processes.
  • Foster creativity and implement innovative digital solutions in real-world digital business enviroments.

Module 1

Digital Transformation

  • Introduction – The case for change
  • Digital business
  • Redefining innovation
  • Characteristics of a high performing company
  • How to accelerate transformation and innovation
  • Strategies to rethink old models
  • How to transform data assets into competitive advantages
  • Driving innovation and sustainability with a successful data strategy

 

Module 2

Digital Workspace     

  • What is a Digital Workplace
  • How modern workplaces create competitive advantages
  • How Digital Workplace drives workforce effectiveness
  • Driving and measuring business value
  • How Digital Workplace supports strategic growth
  • Digital Workplace transformation
  • Digital Workplace roadmap

 

Module 3

Business Transformation using Internet-of-Things (IoT)

  • Productivity paradox
  • How IT can transform business activities
  • Business information systems
  • Web of Things
  • IoT and thing-oriented IoT
  • IoT business models
  • Business drivers
  • Business applications
  • AI and IoT – industry priority scenarios
  • Challenges and opportunities
    • Expectations management
    • Serve users
    • Incorporate wisdom of the crowd
  • The ultimate promise of IoT

 

Module 4

Risk Management in Business Transformation

  • Risks and uncertainties
  • General approach for managing risks
  • Risk management plan
  • Risk mitigation
  • Risk sharing
  • Risk avoidance
  • Quantifing risk with composite risk index

 

 

Module 5

Service-Oriented Strategies

  • Introduction to software architectures
  • What are the quality attributes for service-oriented solutions
  • Cloud computing and Software-as-a-Service (SaaS)
  • Microservices
  • What makes SaaS and web services appealing
  • Top-level processes for delivering the services
  • The basic components of service-oriented solutions
  • Key challenges
  • Competitive value, benefits and limitations

 

Module 6

Digital Operations

  • Operational and Information Technology
  • Key drivers and opportunity profile
  • How data analytics drives Digital Operations
  • Digital Operations Value Model
  • Data and Information Management
  • Implementation roadmap

 

Module 7

Target Operating Model (TOM)

  • What is the Operating Model
  • Key considerations in operationalization
  • Key design principles for an effective TOM
  • Capability Maturity assessment
  • Methodology for Capability Prioritization
  • Data stack and data processes
  • Operating Model in action
  • Operating Model construct options
  • Organizational structure, domains and processes

 

The digital learning tools that are being used during the programme are the following:

  • Learning Management System (LMS).
  • Real-time lectures that are recorded.
  • Zoom platform.
  • Power Point for Creating - Presenting Learning Materials.
  • Interactive Case Studies.
Assessment Type Weight
Group Assignment 1 50%
Group Assignment 2 50%
Total 100%

Passing grade                                                                                                                               60%


Dr. Georgios-T. Michailidis
Enterprise Architect Mercedes-Benz Group AG, Enterpreneur, Founder, Business Consultant