This document discusses data literacy from a product management perspective. It defines data literacy as making sense of presented data, using it to find answers while understanding its limitations. It also discusses three common struggles with data: dealing with vague data requests, implementing self-service data tools, and improving poor data standards like free-text fields, lack of unique identifiers, and large unorganized tables. The document provides recommendations for addressing these struggles, such as getting input from data experts and not compromising on quality. It emphasizes being relentless but also patient in improving data literacy and standards, and getting others invested in the importance of high-quality data.