AI did not end the data literacy crisis. It changed it. As machines move from providing information to interpreting it and recommending what to do, the scarce skill is becoming judgment: knowing what to trust, what to question, and what decisions are still ours to make.
Evidence does not make decisions. People interpret it, weigh it, challenge it, and make judgments. A courtroom reveals what leaders can learn about evidence, expertise, confidence, and data-informed decision-making.
Feeling sure doesn't mean you're right. Learn five simple ways to question what feels true, spot what might be influencing you, and make better decisions about what to believe.
This guide provides an overview of how data can be categorized to support smarter, safer, and more effective decision-making. It explains different types of data classifications—such as structured, unstructured, and semi-structured data—and highlights why proper classification is critical for governance, compliance, security, and analytics.
The content is designed to build foundational knowledge for business professionals, helping them recognize the role of data classification in driving better data use, protecting sensitive information, and creating organizational value.
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