Comprehensive course analysis
Who should attend
- Executives who are interested in implementing big data initiatives
- Managers who want to understand/deploy/scale analytics and AI in their organization
- Area leaders whose operational areas would benefit from increased use of data analytics (e.g., marketing)
- Anyone who wants to understand the benefits and limits of Big Data/AI and data-driven decision making
About the course
Data is everywhere and understanding what it means is an ever more important input into strategic decision making in organizations. This program is designed to give leaders the framework to judge what good data science looks like so that you can identify where data projects can add value and lead with confidence.
During this program, suitable to non-specialists, you will learn about both the capabilities and limitations of big data, AI and data analytics. You will be taught a framework from which to understand big data and analytics, and leave with a toolbox that you can use to lead effective business analytics initiatives.
B^3 is designed to give decision makers the framework to understand and implement data projects that generate actionable insights to help them make fact-driven decisions. The fact is that the hardest parts of implementing a big data analytics strategy or project do not involve data science of technology. Rather the real challenges are ones of leadership and management.
TOPICS AND KEY TAKEAWAYS
- Understand what Big Data/AI can and can’t do (abilities and limitations)
- Learn how to use experiments and predictive analysis to improve decision making.
- Learn to develop strategies to integrate data analytics for fact-based decision-making processes across an organization.
- Judge what “good” looks like in data science
- Identify where analytics provides value add and where it doesn’t
- Lead with confidence in a data driven world
Live, Online: This program will take place over 5 days, with 3 hours a day of live, synchronous class sessions that include small group breakout discussions, as well as data project. To maximize this collaborative learning experience for everyone, you are expected to attend every session, and contribute openly during the class and while in the small groups. This format allows for instant question and answer sessions for immediate clarification.
PhD, BS, MIT Tom Chang's research interests include industrial organization, behavioral economics, corporate finance and applied microeconomics. His current research focuses on better understanding individual decision making, and its implications for firm behavior. Professor Chang's current rese...
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Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.
We are happy to help you find a suitable online alternative.