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An issue with individualized spreadsheets is sometimes people think differently. For example, there could be varying ways of calculating commissions which would lead to conflicting compensation expectations. Working together we establish a common model used system-wide.

Spreadsheets can become so large which even modern-day computers cannot handle. Users encounter an “Out of Memory Error” when working with these files and can be a major waste of time trying to make the spreadsheet work and/or rebooting the computer. New technologies that replace spreadsheets can make this a thing of the past.

Interpretation errors occur when the data is technically correct but may be misleading. This error is the most difficult to control because it requires the user to have extensive knowledge beyond what the data displays. There are systematic ways to present the data differently based on the consumption media and/or audience.

This type of error occurs when a number is mistyped (fat-fingered) or incorrectly labeled in a spreadsheet. Systematically loading data instead of hand keying and/or using data validation routines to check for errors are some ways to accurately load data.

Errors that occur when Excel formulas are incorrectly applied or specified are Calculation errors. They can occur when the designer of the spreadsheet miss-clicked a cell reference, spreadsheet structure changes disrupt formulas, and/or math mistakes. Calculation errors are hard to detect because people who consume spreadsheets typically assume that the spreadsheet is correct. Using a common, vetted systematic calculation can solve this.

The tedious process of combining spreadsheets to summarize data tends to introduce errors. These errors exist because of the sheer amount of spreadsheets that can exist in a company’s business processes. The systems we employ performs aggregations accurately, so there is no risk of human error.