About This Data Online Course
In today’s defense environment, the ability to make timely, informed decisions depends on one critical factor: the quality of the underlying data.
From readiness reporting and logistics planning to intelligence analysis and artificial intelligence-enabled operations, defense organizations rely on data to drive mission success. However, data alone are not enough. If data are incomplete, inconsistent or outdated, they can introduce risk, erode trust and undermine operational effectiveness at every level of the enterprise.
As the U.S. military advances toward a data-centric and AI-enabled force—ensuring data quality has become a mission-critical priority.
High-quality data enable speed, precision, interoperability and decision advantage. Poor-quality data, by contrast, can propagate across systems, degrade analytics and lead to flawed decisions—often at scale. In this environment, organizations must move beyond assuming data are reliable and instead establish measurable, repeatable ways to assess and improve data quality.
Data quality metrics provide that foundation. They make data quality visible, quantifiable and actionable—allowing defense organizations to evaluate whether data are accurate, complete, timely, consistent and fit for mission use. By translating abstract data quality expectations into measurable indicators, metrics enable leaders to identify risks, prioritize improvements and ensure that data can be trusted to support operations, analytics and AI. High-quality data are essential to enabling advanced capabilities, including AI systems that require reliable and representative data to function effectively.
This online course provides a comprehensive introduction to the role, development, management and application of data quality metrics in defense organizations. Through mission-aligned examples and real-world scenarios, you will explore how to define effective metrics, integrate them into governance and workflows, analyze performance and drive continuous improvement.
By the end of the course, you will understand how data quality metrics transform data from a potential liability into a strategic asset—supporting readiness, strengthening decision confidence and enabling mission success across the defense enterprise.
What You Will Learn
- Explain the importance of data quality metrics in supporting mission readiness, risk management and decision making
- Differentiate between data quality dimensions and metrics and how metrics make data quality measurable
- Develop mission-aligned data quality metrics, including calculations, thresholds and ownership
- Analyze and apply data quality metrics to assess performance, manage risk and drive continuous improvement
Who Should Take This Online Course
This online training course is designed for defense or intelligence professionals working for the Federal government or a government contractor companies interested in learning more about data quality in a defense context.
More seasoned professionals will also benefit from this online training experience to obtain a refresher on the critical subject matter.
Prerequisites
None. However, prior completion of the FedLearn course, Basic Data Management (AIDATA108), is highly recommended.
Course Certificate
To achieve a course certificate of completion, you must score 80 percent or higher on a graded final exam.
Course Format
Self-paced, online training course
Course Pricing
Individual courses are $14.99 (per person).
Seat licenses to access the entire FedLearn AI and data science catalog are also available. Click here to learn more and purchase
If you are interested in learning about special team rates for Federal government and government contractor organizations, email [email protected]
Continuing Education Unit Credits
This online course provides 1.5 CEUs.
*Policy created prior to the Department’s name change.
