Programme Content
Learn about a framework for digital transformation and successful examples within companies.
Explore different experimental approaches that business leaders should consider for determining whether digital transformations have resulted in desired outcomes.
Analyze the use of descriptive, predictive, or prescriptive modeling and how to assess the different sources of data and problems related to the quantity and format.
Master looking at processes through a customer-centric lens to identify the scope of improvement and create process flows for your organization.
Understand how subscription models are driving massive growth and the difference between dynamic and personalized pricing.
Identify the importance of specifying strategic imperatives for a digital transformation and the key performance indicators that can be used to measure an organization's performance relative to these imperatives.
Understand the regulations around data collection and usage and the ethical questions that emerge. Explore algorithmic bias and uncover when and why algorithmic decisions can be biased. Capitalize on the process differences with data analytics practices for swift development cycles.
For your capstone project, summarize the takeaways from the previous modules and place them into the context of an entire strategy for your firm.
