Best Practices in Business Analysis for Data Science
Join IIBA Analytics SIG Guest Speaker and payments industry veteran Susan Meyer for a real-world discussion of the challenges faced by data science teams while building a new-to-world products on a tight deadline.
- What are the six ways business analysts need to think differently about doing analysis for a data-driven product?
For business analysts interested in learning how to effectively participate on data science teams, professional development paths are suggested.
Speaker: Susan Meyer
Susan Meyer is a payments industry veteran with over 20 years of experience in business analysis, product development, and data governance. She began her payments industry career building RS-232 switches for some of the first on-premise touch banking consoles. After receiving a Master of Science in Information Systems from the University of Missouri-St. Louis, she began to focus on decision support systems and predictive analytics. During her 19-year tenure at MasterCard, Susan launched a number of data-driven products in the areas of e-commerce payments, fraud scoring, and authorization system controls. Susan enjoys working with cross-functional teams to improve their analytic and business rules strategies, and is currently employed as a Senior Manager for Data & Analytics at Charter Communications.