This document summarizes a lecture on interpreting data like a professional. It outlines that the lecture will teach how data fuels product vision mapping, review the main data types and their uses in product development, and explain how to use frameworks and key performance indicators to achieve a product vision. The lecture also discusses defining and collecting structured versus unstructured data, using customer journey maps, personas, and customer lifetime value as frameworks to focus data interpretation, and selecting metrics that matter like net promoter score and customer retention rate.