Online Certificate in Digital Transformation : Leading People, Data & Technology
Emeritus Institute of Management
Key Information
Campus location
Online
Languages
English
Study format
Distance Learning
Duration
2 months
Pace
Part time
Tuition fees
USD 2,600
Application deadline
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Earliest start date
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Scholarships
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Introduction
Why Take This Program?
Every organization, regardless of industry and whether it sells goods or delivers services, is now an information company. From relationships with external partners and customers to internal operations, digital technologies have changed how information is transmitted and processed. Consequently, every job function within every firm and industry is vulnerable to some manner of digital disruption.
With this program from UC Berkeley, identify and work with the three key components of digital transformation for your organization, namely—data, technology, and people—to make the leap toward staying relevant in a digitally centric world.
Ideal Students
Who is This Program For?
This online program is designed for:
- Mid- to senior-level managers who need a strategy to lead their business unit or firm through a sea of massive disruption.
- Leaders who strive to be more proactive in implementing new ideas, staying ahead of the competition, and aligning their people, data, and technology.
- Participants who may be leaders of a functional department, heads of a business unit or region, or who have general management responsibilities.
Representative functions and industries of past participants include:
- CEO
- COO
- MD
- GM
- President
- Director
- CTO
- CIO
- Director of Technology
- VP of Technology
- IT Director
- Director of Engineering
- Tech Lead
- IT Project Manager
- Engineering Manager
- Tech Manager
- IT Manager
- Systems Manager
- Product Head
- Analytics Head
- Consultants (Management Consultant, Technology Consultant, Software Consultant, IT Consultant, Principal Consultant, Digital Transformation Consultant)
- Solution Architect (Might have other titles such as President, CEO, Partner, or Head of a consultancy firm)
Program Outcome
Key Takeaways
This program will position you to:
- Identify opportunities to address specific problems within the firm and frame them in a way where a digital solution can be optimal.
- Manage the organizational transformations, in the form of people and processes, required to enable measurable and significant change.
- Navigate the legal and ethical considerations that surround digital business practices, such as privacy and data protection.
Curriculum
Program Topics
There’s no question that data and technology are key levers for digital transformation, but it’s also about people and organizational alignment. While much of this online program focuses on opportunities for advancing your strategic digital plan, there is also an emphasis on people and the organization.
Module 1: Introduction and Overview
Learn about a framework for digital transformation and successful examples within companies.
Module 2: Opportunities for Digital Transformation
Explore different experimental approaches that business leaders should consider for determining whether digital transformations have resulted in desired outcomes.
Module 3: The Role of Data
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.
Module 4: The Process of Digital Transformation
Master looking at processes through a customer-centric lens to identify the scope of improvement and create process flows for your organization.
Module 5: Digital Business Models
Understand how subscription models are driving massive growth and the difference between dynamic and personalized pricing.
Module 6: People and the Organization
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.
Module 7: Technology and Policy
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.
Module 8: Conclusion and Action Plan
For your capstone project, summarize the takeaways from the previous modules and place them into the context of an entire strategy for your firm.
Industry Examples
Across all industries, digital technologies have changed how information is transmitted and processed. Every organization is effectively an information company, and every industry is vulnerable to some degree of disruption. Learn from these examples:
- Healthcare. Optimize hospital patient flow in an emergency department.
- Banking. Conduct network analysis to find high-value customers and leverage those relationships.
- Advertising. Use A/B testing to determine the effectiveness of advertising—how much exposure is enough to convert?
- Retail. Optimize an in-store shopping order using “shopper engineering” from Instacart and predict what item the shopper will add to the cart next.
- Transportation. Using indoor location tracking of airline passengers, learn how predictive and prescriptive analytics help understand where passengers go and what services to offer them.
Company Examples
UC Berkeley Executive Education's faculty have strong relationships with the industry. Content from the program is either inspired by or directly derived from research and applications from companies that include:
- Cambridge Analytica. One of the most notorious data breaches of all time occurred when Cambridge Analytica sold Facebook user data and violated the terms and conditions of the API. Learn the ways that legal and ethical considerations factor into digital business transactions.
- Panera Bread. The customer experience was suffering at Panera Bread due to long orders and wait times. Being a data-driven company, they studied the problem using customer data and launched an ‘order-ahead’ mobile app, greatly decreasing order and wait times. They also updated the staffing algorithm, achieving operational gains.
- PayPal. How does a payment platform become ubiquitous? It requires both buyers and sellers to get on board, presenting the old chicken and the egg conundrum: which comes first? Learn how a one-sided market evolves into a two-sided market where both buyers and sellers derive value.
- United Parcel Service (UPS). Imagine you are tasked with creating the best driving routes to provide the ‘last mile’ of residential delivery service to customers. How can data help you find the optimal routes for your drivers? We’ll pull from descriptive, predictive, and prescriptive analytics techniques to solve this challenge
Note: All product and company names are trademarks or registered trademarks of their respective holders. The study of these products and/or companies does not imply any affiliation with or endorsement by them.