When asked a data question, even experienced analysts can feel daunted—where do you start? How do you move from raw data to reliable insight? This session presents a practical, structured approach to data analysis through a checklist of essential questions every analyst should ask. From clarifying the business problem and understanding data context, to assessing data quality, exploring patterns, and communicating results, this presentation outlines the thinking process that separates reactive reporting from thoughtful analysis. 

Attendees will learn how to frame questions, evaluate data sources, select appropriate tools, design clear visualizations, and deliver actionable insights. Whether you’re mentoring new analysts or refining your own practice, this talk provides tools for confident, context-driven data exploration.

LEARNING OBJECTIVES

Identify the key questions that guide a structured, end-to-end data analysis process from defining the business problem to communicating insights.

Learn to apply a practical checklist to assess data quality, structure, and context before performing analysis.

Develop strategies for selecting effective visualizations and interpreting results to deliver clear, actionable recommendations.