Scaling Out in the Age of AI

Data Analysis for Evidence-Based Results

Are you ready to elevate your data analysis skills and make smarter, data-driven decisions? Our workshop is just what you need!

In this workshop, we'll start with a foundation in data analysis, covering essential techniques for data collection and visualization. We’ll also introduce you to how AI can supercharge your analysis with predictive analytics and machine learning.

Next, we’ll explore the world of metrics and measurement. Learn about the importance of key performance indicators (KPIs), how to identify the ones that matter, and how to use them to measure performance effectively. We’ll also break down different types of metrics—input, process, output, outcome, and impact metrics—so you can evaluate performance from every angle.

Then, we’ll explore experimentation and hypothesis testing. Discover the best methods for formulating and testing hypotheses using data, including statistical testing and experimental design. You’ll also learn how AI can assist in designing, running, and analyzing experiments to uncover valuable insights.

Finally, we’ll focus on goal-setting and evaluation. Using a data-driven approach, you’ll learn frameworks and cycles for setting, monitoring, and evaluating goals, ensuring you stay on track and achieve your objectives.

Learning Objectives:

• Master data analysis techniques and enhance them with AI.

• Identify and use key performance indicators to measure performance.

• Design and analyze experiments to validate hypotheses and set data-driven goals.