In today’s data-driven world, the role of a Business Analyst (BA) is evolving rapidly. This session will explore how BAs can elevate their roles to become “proxy” Data Scientists, bridging the gap between business needs and data science capabilities. Attendees will learn how to leverage their existing skills in data analysis, business process improvement, and stakeholder communication to drive data-centric decision-making and add significant value to their organizations.

As organizations strive to harness the power of data to drive strategic decisions, there is a growing need for Business Analysts to develop competencies that bridge the gap between traditional business analysis and advanced data science techniques. This session will provide participants with the knowledge and tools to make this transition, ultimately empowering them to drive more informed and impactful business strategies. Through engaging in 3 case studies and call to action to make the transition to upskilling.

LEARNING OBJECTIVES

• Identify Key Data Science Competencies
• Develop a Personalized Learning Plan
• Implement Data Science Techniques in Business Analysis for 3 Case Studies