Summary

In this chapter, we discussed the importance of data integrity as a critical foundation for every organization making financial data-driven decisions. We learned how to detect manual data encoding errors by implementing data validation, conducting data audits, and performing timely account reconciliations. Next, we covered the most common account reconciliation problems and how to avoid them using known procedures and available tools. We also discussed how to prevent balance sheet data integrity issues since the balance sheet is one of the major financial reports that businesses prepare and that stakeholders use when making decisions. Toward the last half of the chapter, we covered how to handle data corruption and data integrity issues in systems and databases using various strategies and solutions.

This chapter gave a comprehensive overview of the complex challenges and issues of various companies and how to address and mitigate them. In the next chapter, we will dive...