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Today, every major corporate initiative, from AI and analytics to regulatory compliance, depends on data quality. As organizations invest in tools, platforms, and leadership roles, progress in data management often stalls. That's because most approaches assume ideal working conditions, while in reality, teams are often struggling with limited time, cultural resistance, and competing priorities. The Anti-Perfectionist Guide to Data Quality enables you to work within that messy reality. Data management expert Martin Vance breaks down the assumptions keeping your data efforts stuck and shows you how to move forward with the resources available. Each chapter pairs a "Perfectionist Trap" with an "Anti-Perfectionist Escape Route" to help you understand real-world strategies for building momentum, earning trust, and demonstrating impact.