High-quality data doesn’t happen by accident — it’s built through consistent practices, validation checks, and careful attention to detail. Poor data entry leads to inaccurate reporting, weaker funding applications, and misleading performance measures that affect real lives. This course equips you with the tools and practices needed to ensure that every piece of data you enter contributes to an accurate, reliable, and trustworthy HMIS.

Through interactive exercises and real-world examples, you’ll learn how to spot and correct errors, follow validation rules, and build workflows that keep your agency’s data strong from start to finish.

What You’ll Learn

• Why data quality is critical for clients, agencies, and the community
• Key HUD validation rules and common data entry pitfalls
• How to correct errors without breaking reporting standards
• The role of timeliness, accuracy, and completeness in HMIS data quality
• Quality assurance (QA) workflows and correction cycles
• Practical strategies to build a culture of data accuracy at your agency