with ordinary Excel features
Automatic input structuring and validation
Data is processed on the server, providing quick access to large volumes of information with a powerful calculation engine.
Information is organized as OLAP cubes, eliminating the risk of data-entry errors or incorrect structuring. Data integrity is checked automatically.
Metadata can be modified on the server, with all changes automatically propagated to dependent tables and formulas.
Security settings can be configured for various user categories, granting access to tables (cubes), structural elements, and document versions.
Multiple users can work on the same table simultaneously, with all changes saved instantly. Data-entry processes can be monitored in real time.
Spreadym can import data from third-party systems through a REST API, providing unified, structured data and automated reports.
Working with large spreadsheets in Excel can be time-consuming. Often, data must be split across multiple sheets or files to speed up calculations.
Data integrity depends on the user. Adding new rows or columns can disrupt formulas and create other issues.
New elements, dimensions, and connections are entered manually. Changes must be made manually to all relevant sheets and files.
Excel has limited data-access control. Users often resort to splitting data into multiple files to manage permissions.
Excel offers only limited collaboration capabilities, and there is no built-in control over user changes.
Excel allows users to load data from third-party systems, but only with restrictions and upon request. Continuous and regulated data loading is not possible.