Interpret data, uncover opportunities, and solve complex business problems.
Superior analytic capability spells competitive advantage—and success. With today's ubiquity of data, every organization needs leaders who can understand the impact of data, harness it for effective use, interpret analysis, and successfully lead teams of analysts.
Whether you need to identify pain points, streamline processes, increase productivity, or focus on the future to identify potential areas for growth and innovation, discover how data analytics can lead the way. This program will equip you with not only a deeper understanding of the tools and techniques available, but an ability to identify potential use cases in your organization, and importantly, to clearly convey insights garnered to executive stakeholders—driving implementation and results.
Through an introduction to the descriptive, predictive, and prescriptive levels of analytics, learn from renowned Carnegie Mellon University faculty—leading experts with cutting-edge knowledge—and a focus on application and results. Highlighted applications and use cases include customer churn, logistics, and people analytics. Walk away with tools to build an organization and team fluent in data analysis, ready to harness the power of data for advanced business insights.
Participant Insight
"The Business Analytics program was excellent—well-structured, clear, and genuinely practical. The professor explained the differences between all three analytical types in a precise, professional way, and the hands-on walkthroughs were especially valuable."
- CDO, Vision AI and Predictive Maintenance Lead, ArcelorMittal
Key Takeaways
- Identify what business problems are amenable to data analytics and how to transform organizational data into actionable insights
- Increase familiarity with data analytics techniques and the ability to choose the appropriate tool for solving a problem with data
- Ensure your organization is collecting the right data and has the appropriate organizational alignment for successful implementation
- Recognize how to use data analytics to innovate and improve operational efficiency
- Understand the future potential of data analytics, including artificial intelligence
Who Should Attend
- This program is designed for middle managers or higher who have a holistic view of their companies and are responsible for making business decisions based on data insights.
- Participants should understand use cases and recognize opportunities. Often these candidates have abundant data but may not know how to leverage it.
- The course develops leaders who can solve problems through a high-level, advanced understanding of data — how to recognize and prioritize business use cases for data analytics, how to lead teams empowered to use data, how to interpret and translate the findings into business decisions, and how to communicate the associated business value.
- Individuals interested in pursuing their Certificate in Executive Leadership + AI.
Sample Schedule
While subject to change, the following schedule gives participants an idea of what to expect in this program.
MORNING
The Role of Analytics for Business Decision Making
Provide a historic overview of analytics, its stages and organizational impact,
including the ladder of analytics: descriptive, predictive, and prescriptive analytics.
Lunch break
AFTERNOON
Making Sense of Data Through Descriptive Analytics
Explore the value of data and how data mining and AI methods can be applied, using the business problem as the guide to data exploration to ensure impactful outcomes.
MORNING
Understanding the Consequences of a Decision with Predictive Analytics
Discuss how predictive analytics models, from statistics and machine
learning to artificial intelligence, can be used for business applications
ranging from marketing to operations; various methods will be discussed
including regression models, decision trees, and neural networks.
Lunch break
AFTERNOON
Analytics Case Team Exercise
Participants will apply previously discussed analytics tools to a problem case,
including choosing the best model and measuring its impact.
MORNING
Optimizing Decision Problems Using Prescriptive Analytics
Explore how prescriptive analytics models based on mathematical optimization can solve large-scale decision problems optimally and learn how these tools can be used for strategic, tactical, and/or operational decision making.
Lunch break
AFTERNOON
Analytics Case Team Exercise
Participants will apply previously discussed analytics models to a problem
case, with a specific focus on strategic, tactical, and/or operational use.
MORNING ONLY
Industry Expert Guest Lecture on Analytics in the Enterprise
Discussion of common pitfalls, organizational issues, and the role of the analytics team, with emphasis on the decision process structure of the organization.
Analytics Case Team Presentation
Participants will present findings of the exercises developed throughout the program.
Wrap Up
Participants will identify concrete steps for applying key concepts, tools, and frameworks to develop a data analytics strategy in their own organizations.
Meet Your Instructor
How to discuss program investment with your employer
Many organizations support employees' attendance in Carnegie Mellon Tepper Executive Education programs by covering the program fee, travel expenses for in-person programs, and granting time away from the office.
Carnegie Mellon Tepper Executive Education understands the investment in attending our programs or earning our Certificate in Executive Leadership may require additional information for your employer. To help facilitate the conversation, we have drafted a justification letter for you. It outlines the benefits of participating in a Carnegie Mellon Tepper Executive Education program.
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