Powering Digital Value Chains

Stanford Graduate School of Business

Stanford Graduate School of Business

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Who should attend

  • COOs, CEOs, and other senior-level operations professionals who understand the strategic importance of the value chain to the overall business
  • Managers in key technology/information systems, product, and strategy development roles who participate in and rely on the value chain

About the course

Rethink and reinvigorate your value chain using the right set of digital technologies and techniques to create more value for your business.

Yesterday’s supply chains look nothing like today’s. Value chains are undergoing constant technological transformation. There are more ways to connect with customers and suppliers, endless ways to personalize, and a sea of data to manage. In other words, more complexity, challenges, and opportunities. Powering Digital Value Chains: Big Data to Business Intelligence will help you learn how to operate and compete in this exciting data-driven world.

This Stanford Intensive Live Online Business Program will help you understand how to make the most of your value chain by leveraging digital technologies to create greater value. Discover the latest technologies and innovative trends in e-commerce, digital marketplaces, and experimentation. Explore analytical tools like AI and machine learning that can turn big data into better decisions. Identify and exploit opportunities where more value can be captured — for an existing value chain or to spark a new venture.

In eight faculty-led sessions held over four days, you’ll engage deeply with world-renowned researchers who have real-world expertise in applying intelligent business analytics and digital technologies. Together, with faculty and peers, you’ll share new strategies, technologies, and applications. While technical in nature, no technical expertise is required.

Key Benefits

Understand the power of big data, the transformation to intelligence, and using both to create a superior value chain

  • Master the thinking process for using intelligent data analytics and digital technologies to improve performance, create new ventures, or spark new business ideas.
  • Discover how tools like AI, experimentation, and machine learning can help you make better business decisions.
  • Explore different paths to transformation and learn best practices from case studies.
  • Develop action plans to operationalize key strategies.

Curriculum

How are algorithms transforming modern business? How do AI and machine learning impact decision making? Why is experimentation the key to innovation?

We live in a data-driven world. And value chains are no exception. Data impacts every aspect of your value chain — from procurement and personalization to market platforms and product curation. As strategists and practitioners, you’ll need to learn how to leverage it, to turn that data into intelligence that can make your value chain more successful. That’s the crux of the Powering Digital Value Chain curriculum. It’s intense. Fast paced. And highly relevant to anyone who has a stake in operating and improving the value chain of the future.

Experts

Hau Lee

Hau L. Lee is the Thoma Professor of Operations, Information and Technology at the Stanford Graduate School of Business. His areas of specialization include global value chain innovations, supply chain management, global logistics, inventory modeling, and environmental and social responsibility. ...

Gabriel Weintraub

Research Statement Gabriel Weintraub's research is in the areas of operations, management science, industrial organization, computational economics, and market design. Most recently, he has become particularly interested in studying the operations, optimization, and economics of digital marketpla...

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Powering Digital Value Chains at Stanford Graduate School of Business

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Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

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