Avoiding Common Data Integrity Issues and Challenges in Finance Teams
In the previous chapter, we learned that financial data integrity management is critical for every organization trying to make data-driven financial decisions and avoid regulatory issues and penalties. That being said, for a finance and data professional, it is important to have the skills to be able to detect and address data integrity issues before they become critical—and even to prevent these issues in the future.
In this chapter, we will build on top of the concepts discussed in the first chapter and cover the following topics to help us avoid common data integrity issues and challenges in finance teams:
- Detecting manual data encoding issues in financial teams
- Avoiding common reconciliation errors and mistakes in finance teams
- Preventing balance sheet data integrity issues
- Handling data corruption and financial transaction data integrity issues in internal systems and databases ...
