This work will deal with the importance of planning in the structuring of data bases of common use in a company; aiming to contribute to highlight the relevance of them being built in a way that they can be integrated with other automation and data analysis tools. In addition, a case study will be discussed, in which it will be analyzed whether there are significant differences in the operational and computational cost spent on processing data from non-standard spreadsheets, in relation to the cost spent on processing structured spreadsheets. Finally, a spreadsheet construction methodology will be proposed to avoid problems that are simple in essence, but that can cause major inconvenience if not duly processed.