Analytics and Decision-Making Unlock the Power of Data

Master techniques for the collection, manipulation and interpretation of data to inform key business decisions and create impact.

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, advocate for its effective use and interpret analysis. Through a three-day deep-dive into 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.

This program will equip you not only with deeper understanding of the tools and techniques available, but an ability to identify potential use cases in your own organization, and importantly, to clearly convey insights garnered to executive management - driving implementation and results.

Program Schedule

Day 1

Descriptive Analytics: Prioritizing use cases

Assess the scope and depth of opportunities for analytics while understanding both the strengths and limitations of data analytical approaches. Identify the value from data and recognize the progression of descriptive, predictive and prescriptive models.

Day 2

Predictive Analytics: Managing Uncertainty

Introduce the role of prescriptive modeling and understand the cycle of assessment, model and evaluate for data-based decision making. Identify specific risks and hurdles on the path to creating impact with analytics.

Day 3

Prescriptive Analytics: Executing based on insight

Emphasis on using analytical models for strategic, tactical, or operations decision making. Identify the sources of data risk and strategies for alleviating them.

Key Takeaways

• Gain deeper understanding of analytic tools: both advantages and pitfalls
• Recognize potential opportunities and appropriate techniques
• Learn to effectively communicate results and recommendations to executive level management
• Prepare to credibly advocate for vital organizational culture change
• Recognize how to use data analytics to innovate and improve operational efficiency.