Information Risk and Data Quality Management (FRM Part 2 2025 – Book 3 – Chapter 9)
Автор: AnalystPrep
Загружено: 2020-07-13
Просмотров: 3695
This lesson explains information risk and data quality management in FRM Part 2, Book 3. You’ll learn the most common data errors (missing data, capture errors, duplicates, inconsistent and poorly defined fields, transformation issues, bad metadata, identity problems), how they impact finance, risk, confidence, compliance, and productivity, and how to set data quality expectations across accuracy, completeness, consistency, reasonableness, uniqueness, and freshness. We also cover operational data governance: roles, stewardship, scorecards, benchmarks, and controls, plus key regulations and frameworks (BSA, USA PATRIOT Act, Sarbanes-Oxley, Basel II, COBIT).
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After completing this reading, you should be able to:
Identify the most common issues that result in data errors.
Explain how a firm can set expectations for its data quality and describe some key dimensions of data quality used in this process.
Describe the operational data governance process, including the use of scorecards in managing information risk.
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