with ordinary Excel features
Automatic input structuring and validation
Data is processed on the server, providing quick access to large amounts of information with a powerful calculation engine.
Information is structured in the form of OLAP cubes. There is no risk of data entry errors or incorrect structure appearance. Data integrity is checked automatically.
Metadata can be changed on the server, and all changes are automatically propagated to all dependent tables and formulas.
Security settings can be configured for various user categories. Access can be granted to tables (cubes), structural elements, and versions.
Users can collaborate in a single table, with all modifications saved instantly. The data entry process can be monitored in real time.
Using the REST API, Spreadym can load data from third-party systems used by the company. Users receive unified and structured data along with automated reports.
Working with large tables in Excel can be time-consuming. To speed up calculations, it is often necessary to separate data across multiple sheets or files.
The integrity of the data structure in Excel is maintained by the user, which can lead to errors. Adding new rows and columns can cause formula shifts and other issues.
New elements, dimensions, and connections are entered manually. Changes must be made manually to all necessary sheets and files.
Excel provides limited options for controlling data access. Users often have to manually split arrays into several files.
Excel provides limited collaboration capabilities. There is no control over the changes users make.
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.