Detecting manual data encoding issues in finance teams

Despite the advancement of automation tools and systems in these past few years, manual encoding errors and mistakes are still prevalent in finance teams and industries globally. Encoding issues and errors affect the reliability and trustworthiness of the data, making the reports generated using this data unfit for use in business decisions. Thus, it is important that these issues are detected early on to prevent this from happening. Here are some of the suggestions and recommendations to help solve these issues.

Utilizing available tools to check for data integrity issues in encoded data

To manage manual encoding data integrity issues, it is important that the collected data is checked and validated using available tools before it is used. This will ensure the accuracy and completeness of the data before it is analyzed or processed. These checks confirm that the data entries use the correct data type or format. At the same...