More than ever, digitalization is imperative for businesses to maintain their competitive advantages and foster innovation. To successfully design and implement digital transformation initiatives, leaders must be equipped with the technical know-how, strategic frameworks, and leadership best practices. Stanford Graduate School of Business, with deep roots in Silicon Valley, has developed a unique curriculum to guide you on your digital transformation journey.
DEMYSTIFY TECHNOLOGY
Discover the endless application possibilities
artificial intelligence (AI) and machine learning (ML), cloud, automation, Internet of Things (IoT), and augmented reality (AR) and virtual reality (VR) technologies to support digital transformation initiatives.
LEVERAGE TECHNOLOGY: Evaluate the capabilities of these technologies to create organizational value.
DEVELOP YOUR STRATEGY: Develop strategies to shape organizational culture and capabilities to achieve digital transformation.
Build
a strong digital culture across its organization, with the goal of exceeding customer expectations and achieving operational efficiencies to remain competitive through digital initiatives.
Plan
or initiate technical projects, or who have assumed functions that require a digital mindset to drive digital transformation in their departments.
Explore
growth opportunities through digitalisation and aspire to expand their digital knowledge.
Program Modules
Module 1:
Introduction to digital transformation Defines the benefits of digital transformation and how it can be applied to the challenges organizations face in innovating.
Identify digital transformation solutions that address organizational needs and new business models.
Module 2:
The kingdom of data Assess your familiarity with data and gain a deeper understanding of how to apply it to a specific business need.
Identify ways to avoid common pitfalls that hinder data projects.
Module 3:
Cloud services and data analytics Evaluate the capabilities of cloud services to address business needs .
capture new opportunities
Design a business experiment in which you will explain how to use analytics and data visualization to facilitate business decision making.
Module 4:
Artificial intelligence and machine learning Distinguish between three types of machine learning algorithms and how to apply them to address business needs and opportunities.
Analyzes best practices and common pitfalls when implementing artificial intelligence and machine learning.
Module 5:
Automation, Explore the capabilities and limitations of technologies.
Explain the business values and advantages and disadvantages of implementing technologies, focusing on the opportunities for automation within your organization.
Module 6:
Organization and execution Develop a digital transformation roadmap by assessing digital initiatives and defining short- and long-term strategic objectives.
Formulate strategies to transform individual behaviors and organizational culture to support.
digital transformation
The Digital Transformation Canvas The Digital Transformation Canvas is a five-point framework that helps you concretize your digital initiatives, which are the foundation of your digital roadmap.
The Benefits, Assets, Threats, Liabilities (BATL) Framework. The proprietary BATL framework is a tool to help leaders evaluate new ventures, whether internal or external.
Original case study Innovation at Volkswagen: The Story of Digital: Lab of Professor Yossi Feinberg, Mitchel Scott and Amadeus Orleans.
Why take this program?
Every organization, regardless of the industry it operates in and whether it sells products or provides services, has become an information enterprise. From relationships with external partners and customers to internal operations, digital technologies have changed the way information is transmitted and processed. As a result, every job function within every company and industry is vulnerable to some form of digital disruption.
With this program from the University of California, Berkeley, you will identify and work with the three key components of digital transformation for your organization—data, technology, and people—in order to make the leap toward relevance in a digital-centric world.
This online program is designed to: Mid- to senior-level managers who need a strategy to guide their business unit or company 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 may be leaders of a functional department, heads of a business unit or region, or have general management responsibilities.
This program will allow you to: Identify opportunities to address specific problems within the company and frame them in a way that a digital solution can be optimal.
Manage the organizational transformations, in the form of people and processes, necessary to enable measurable and significant changes.
Navigate the legal and ethical considerations surrounding digital business practices, such as privacy and data protection.
There is no doubt that data and technology are essential resources for digital transformation, but that transformation is also about the convergence of people and the organization. Therefore, and while a good part of this program focuses on taking advantage of opportunities to advance your strategic digital plan, it also puts emphasis on people and the organization.
Module 1:
Introduction and overview Learn about a framework for digital transformation and successful examples within companies.
Module 5:
Digital business models Understand how subscription models are driving massive growth and the difference between dynamic and personalized pricing.
Module 2:
Digital transformation opportunities Explores different experimental approaches that business leaders should consider to determine whether digital transformations have achieved the desired results.
Module 6:
People and the organization Identifies 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 against these imperatives.
Module 3:
The importance of data Analyzes the use of descriptive, predictive or prescriptive models and how to evaluate different data sources and issues related to quantity and format.
Module 7:
Technology and politics Understand the regulations around data collection and use and the ethical questions that arise. Explore algorithmic bias and discover when and why algorithmic decisions may be biased. Leverage differences in processes with data analytics practices for rapid development cycles.
Module 4:
The process of digital transformation Master the way of viewing processes through a customer-centric lens to identify scope for improvement and create process flows for your organization.
Module 8:
Conclusion and action plan For your final project, summarize the key points from the previous modules and place them in the context of a comprehensive strategy for your company.
Industry examples
Across all industries, digital technologies have changed the way information is transmitted and processed. Every organization is effectively an information enterprise, and every industry is vulnerable to some degree of disruption. Learn from these examples.
Medical attention
Optimize patient flow in a hospital emergency department.
Banking
Capitalize on network analysis to find your most valuable customers and strengthen those relationships.
Advertising
Using A/B testing to determine advertising effectiveness: How much exposure is enough to drive conversions.
