Organizing for Digital Transformation

Übersicht

Digital transformation is not just about technology:

it is about people, processes, and structures that allow organizations to adapt and thrive in a rapidly changing world. Even with strong data and advanced analytics, many firms struggle to capture real value because they are not organized to make the most of their investments.

In this course, you’ll explore the organizational side of digital transformation:

how to align teams, metrics, and governance with technology adoption. You’ll see why transformation efforts often fall short, study real-world examples from leading firms, and practice making the case for infrastructure and AI investments to executive stakeholders.

This course builds on the fundamentals of digital transformation and the manager’s role in data analytics by moving into the organizational capabilities required for success. You will reflect on your own organizational context, analyze global case studies, and produce actionable plans for structuring digital transformation in practice.

Lehrplan

• Course Orientation
• Organizing for Digital Innovation
Digital innovation is more than adopting new technologies. It requires organizing your business models, operating models, and governance structures to capture value from those technologies. Many firms invest heavily in analytics and AI, only to see limited results because they lack the organizational alignment to translate investment into impact.
• Transformation and Metrics
You and your organization are poised to make great strides in using data to drive transformation. But asking the right questions is only the beginning. The real challenge is structuring your organization to collect the right data at the right time, with the right team.
• Operating Models to Facilitate Transformation
Even the best planned digital transformations face challenges when organizations try to integrate new technologies into real-world structures. Firms must balance the promise of AI with the realities of organizational design, team capabilities, and investment trade-offs. Metrics help track progress, but they can also complicate decision-making when costs are high and outcomes uncertain.

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Unterrichtet von

Geoffrey Parker

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Fachgebiete

Business