Table of Contents
Preface
Part 1: Foundational Concepts for Data Quality and Data Integrity for Finance
1
Recognizing the Importance of Data Integrity in Finance
Understanding the impact of data integrity issues in finance
Lack of trust in systems
Damage to reputation
Financial impact
Compliance issues with laws and regulations
A quick tour of concepts relevant to data integrity management
Levenshtein distance
Machine learning
Orphaned records
Financial reporting
Balance sheet
Profit and loss statement
Cash flow statement
Budgeting
Forecasting
Depreciation
Variable cost
Risk management
Insurance
Transaction
Mutual exclusion
Debunking the myths and misconceptions surrounding finance data integrity management
Myth 1 – only large financial organizations ...
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