The benefit of learning together with your friend is that you keep each other accountable and have meaningful discussions about what you're learning.

Courtlyn
Promotion and Events SpecialistImplement a data-driven roadmap to drive business value
June 15, 2022
2 months, online
4-6 hours per week
US$2,725 US$2,507 or get US$260 off with a referral
Our participants tell us that taking this program together with their colleagues helps to share common language and accelerate impact.
We hope you find the same. Special pricing is available for groups.
The benefit of learning together with your friend is that you keep each other accountable and have meaningful discussions about what you're learning.
Courtlyn
Promotion and Events SpecialistBased on the information you provided, your team is eligible for a special discount, for Data Strategy: Leveraging Data as a Competitive Advantage starting on June 15, 2022 .
We’ve sent you an email with enrollment next steps. If you’re ready to enroll now, click the button below.
Have questions? Email us at group-enrollments@emeritus.org.
Enrolling in this program is the first step in your journey to alumni benefits.
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Every organization is faced with a data challenge: How do you leverage the vast data you’re gathering to make better business decisions and create greater value? Most companies aren’t sure how to accomplish this effectively or in adherence with data governance. The solution is to follow a data strategy playbook that allows you to balance the risks and opportunities of data management and use.
UC Berkeley Executive Education’s Data Strategy online program is designed as a practical guidebook to help you leverage data insights to drive innovation strategy. You’ll leverage data management, data governance, data technology, data analytics, and a data-driven culture to generate untapped value from your organization's data.
Companies with a data-driven CEO are 77% more likely to significantly exceed their business goals.
64.2% of companies claim to use data to drive innovation.
Companies have experienced 25% faster innovation cycles with data analytics.
Guided by faculty experts and industry best practices, you will learn how successful organizations use data as an organizational asset. By the end of the program, you will be prepared to develop your own data strategy by accomplishing the following:
Each module in this two-month program is designed to help you create a high-level data strategy based on insights from the faculty’s years of experience developing data strategies at dozens of organizations.
Apply a value creation framework with four perspectives to generate insights from data and learn to build data-driven products at scale to execute your data strategy.
Learn a practical three-step methodology of contextualization, ideation, and prescription to develop a successful data strategy.
Identify frameworks for data architecture, data storage, and data operations; assess the data life cycle; and explore the practical uses of three important categories of data: metadata, reference data, and master data.
Assess how data governance ensures that data stays reliable and secure; develop an effective approach to data security; and understand the best practices to comply with privacy regulations, such as GDPR, HIPAA and CCPA.
Organize data technologies into four categories: data generation and acquisition; data integration and management; data analysis; and data operationalization. Identify the technologies and applications for each step of your data process.
Gain a high-level view of how to build a culture to enable data-driven decision making in your organization; formally structure your organization to create value from your data; and evaluate the importance of roles such as chief data officer.
Look to the future of data, discovering what’s possible in data science, AI, and different analytic approaches that can inform your business decisions and automate processes in ways never before possible, including descriptive and prescriptive modeling.
Apply a value creation framework with four perspectives to generate insights from data and learn to build data-driven products at scale to execute your data strategy.
Organize data technologies into four categories: data generation and acquisition; data integration and management; data analysis; and data operationalization. Identify the technologies and applications for each step of your data process.
Learn a practical three-step methodology of contextualization, ideation, and prescription to develop a successful data strategy.
Gain a high-level view of how to build a culture to enable data-driven decision making in your organization; formally structure your organization to create value from your data; and evaluate the importance of roles such as chief data officer.
Identify frameworks for data architecture, data storage, and data operations; assess the data life cycle; and explore the practical uses of three important categories of data: metadata, reference data, and master data.
Look to the future of data, discovering what’s possible in data science, AI, and different analytic approaches that can inform your business decisions and automate processes in ways never before possible, including descriptive and prescriptive modeling.
Assess how data governance ensures that data stays reliable and secure; develop an effective approach to data security; and understand the best practices to comply with privacy regulations, such as GDPR, HIPAA and CCPA.
Capstone Project: Create a plan for developing and implementing a comprehensive data strategy in your organization, applying the frameworks, methodologies, and tools you will learn in this program.
Download BrochureDesigned for technology leaders, IT managers, and data managers who want to develop data strategies that align with their organizations’ business goals, this program will be particularly beneficial for those in the following roles:
This program is also relevant for entrepreneurs and consultants, who are seeking to provide comprehensive data solutions to their own or their clients’ enterprises.
Video sessions
Live webinars
Live office hours
Interviews with guest experts
Application exercises
Capstone project
Moderated discussion boards
Knowledge checks
Personalized and peer-review feedback
Industry use cases
Polls
Prereadings
Try-it activities
Crowd-sourced activities
Demonstrations
Case Studies
Reflections
Real-world examples can help you fine-tune your organization’s data strategy. Learn how top global brands create positive results from data management, data technology, and strategic methodologies.
Explore the analytics-driven transformation of this lifestyle conglomerate in the Middle East and North Africa, and how it used data governance and a test-and-learn culture to mitigate the effects of the pandemic, open new sources of growth, and generate customer value.
Discover how this major retailer overcame technological and organizational challenges to expand its e-commerce arm, driving sales and winning customers on its path to becoming a data science organization.
As the world embraces "smart" everyday objects, global consumer electronics giant Samsung offers insights into how it is navigating the risks and opportunities of the Internet of Things.
Learn how Alibaba’s high-tech, high-growth supermarket chain Freshippo uses big data and emerging technologies such as 5G to innovate a new omnichannel business model.
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Richard Huntsinger
Professional Faculty in Operations & IT Management, UC Berkeley Haas School of Business
Professor, Silicon Valley entrepreneur, Fortune 500 operations executive, and management consultant, Richard Huntsinger has broad international experience leading programs and projects in operational excellence, internet-based and agent-based customer service, data analytics, and enterprise software development. He has worked with Hewlett-Packard, AT&T, Symantec, Hitachi, Curtiss-Wright, Cisco, and the U.S. Department of Energy. Currently, he serves as executive director of the Berkeley Data Analytics Group.
A strategy and technology advisor to several companies and a frequent guest speaker in industry, academia, and government, Huntsinger holds a BSc and an MSc in computer science from California State University, an MBA from Columbia University, an MBA from UC Berkeley, and a PhD in engineering and public policy from Carnegie Mellon University.
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Girish Venkatachaliah
Chief Technology Officer, agilon health
With deep experience in developing data strategy in healthcare and other industries, Girish Venkatachaliah has spent two decades in a variety of leadership roles in data and AI, including a role as chief technology and product officer for Decision Resources Group (DRG). At DRG, he was responsible for all products, strategy, epidemiology, and engineering, creating the roadmap for DRG to manage a rapid sale to Clarivate Analytics for nearly $1 billion. His previous roles also include being vice president of product development at IBM, where he was responsible for a portfolio of cloud offerings that included Watson Machine Learning.
Venkatachaliah holds a BS in electronics engineering from RV College of Engineering; an MS in computer science from the University of Nevada, Las Vegas; an MS in engineering management and technical leadership from Santa Clara University, and a joint-program MBA from UC Berkeley and Columbia University.
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Thomas Lee
Associate Adjunct Professor in Operations & IT Management, UC Berkeley Haas School of Business
Thomas Lee is a research scientist and associate adjunct professor in the Haas Operations and Information Technology Management Group at the Haas School of Business. He teaches and conducts research on information and communication technologies to support innovation and new product development. Specifically, he develops and applies text and data mining methods for processing user-generated content. He has served as a visiting scientist at the Computer Security Division of the National Institute of Standards and Technology, a research engineer at the MITRE Corp., and supporting the Defense Advanced Research Projects Agency in its research on internet privacy and security.
He holds a BA in political science and a BS in symbolic systems from Stanford University, as well as an MS in technology policy and a PhD in engineering systems from the Massachusetts Institute of Technology.
Enrolling in the Data Strategy program is your first step toward the Certificate of Business Excellence. You will have access to a private global network of more than 41,000 UC Berkeley alumni in more than 80 countries, along with exclusive benefits available only to UC Berkeley alumni who have completed the Certificate of Business Excellence:
Networking and events
Berkeley resources
News and communication
Note: All benefits subject to change.
Get recognized! Upon successful completion of the program, UC Berkeley Executive Education grants a verified digital certificate of completion to participants. Participants must complete 80 percent of the required activities, including a capstone project (if any) to obtain the certificate of completion. This program also counts toward a Certificate of Business Excellence.
Download BrochureNote: This program results in a digital certificate of completion and is not eligible for degree credit/CEUs. After successful completion of the program, your verified digital certificate will be emailed to you in the name you used when registering for the program. All certificate images are for illustrative purposes only and may be subject to change at the discretion of UC Berkeley Executive Education.
This program counts toward a Certificate of Business Excellence
Curriculum Days: Two days
Pillar(s): Strategy & Management
A UC Berkeley Certificate of Business Excellence gives individuals the opportunity to create a personal plan of study structured by our four academic pillars. Participants will earn a mark of distinction with certification from a world-class university and enjoy the flexibility of completing the program in up to three years.
Learn new skills with your colleagues and get special enrollment. Discounts up to 20% are available.
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Flexible payment options available.