Build strategic skills to improve collaboration and decision making across your organization.
Business insights and data science work better together. Because when you capture data that’s truly relevant to your business operations, your decisions are more strategic… and successful. Data-Driven Decision Making helps you bridge that gap. The carefully-curated curriculum is developed by Stanford GSB faculty who share a passion for data analytics and business strategy. Our faculty’s technical expertise combined with practical business applications will help you understand the technology and team skills you need and how to make better decisions across your organization.
Data-Driven Decision Making is a Stanford Intensive live online program so the curriculum is designed for high impact in a short amount of time. In eight sessions over four days, you’ll engage deeply with world-renowned researchers in faculty-led sessions and discuss case studies that bring key concepts to life.
Learn more about a few of the sessions below.
Using Data to Make Better Decisions (Prediction)
Simply collecting data is not very useful. Business managers must know what to collect, how to analyze it, and how to use it to make business decisions. Using two case studies, you’ll explore how businesses use data to generate competitive advantage and the limits of data for decision making when competitors have the same information.
Big Data and Machine Learning – From Data to Decisions
Discover how big data, machine learning, and artificial intelligence can be used to create knowledge from data that will inform business decisions. Using a case study from the healthcare industry, you’ll understand the power of these tools in enabling data-driven decision making.
Technology Strategy for Big Data
Many applications (cloud clusters, machine learning tools) seem advanced, exciting, and feel like a “must have” for your organization. Examine how collecting the right data, data that reflects true business operations, is essential. Sometimes a simple graph or chart analyzed in-house will help you effectively make the decision at hand vs. costly analytics expenditures.