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With DocSpace Sheets, sharing data and information with other users is simple and intuitive. All you need to do is select the portion you want to share, such as a table or a single cell, and use our feature to export it to one or more specific users. You can also choose the sharing mode, which can be read-only if desired.
With DocSpace Sheets, working on the same file simultaneously is easy. Collaborators can input data and update the shared document directly. Other users working on the sheet will receive a notification and see their sheet updated without needing to notify other collaborators via email.
With DocSpace Sheets, linking data between Excel sheets is highly intuitive and saves time. Simply share the selected portion of data with your collaborators. Data updates are then automatically synced to the main document, eliminating the need to send files via email. Notifications will keep you informed. Thanks to this integration, data stays synchronized in real-time across different Excel sheets, simplifying management and enabling more efficient collaboration within the company.
DocSpace Sheets ensures the highest confidentiality of shared data through a synchronization process that uses an RSA end-to-end encryption algorithm. Data is automatically encrypted during transmission, ensuring that only the authorized recipient can decrypt it. Every change made is tracked, notified, and logged, allowing users to view the timeline of sharing activity and perform detailed analyses of their data, considering changes over time.
You can see it better on our site [tutorial]
Thanks to this feature, users can effectively and securely monitor and analyze changes made to shared data over time.
ETL, which stands for Extract, Transform, Load, is a crucial process in data management. It refers to the procedure of extracting, transforming, and loading data from a source data system to a destination system, such as a data warehouse or database. During the ETL process, data is extracted from the source, transformed into a format suitable for analysis, and then loaded into the destination system. This process is essential for ensuring that the data is complete, accurate, and ready for business analysis. You can see this in more detail in our [tutorial].
Self-Service Business Intelligence (BI) is an approach that allows business users to access and analyze business data without relying on support from IT specialists or data analyst teams. With Self-Service BI, users can explore data, create customized reports, perform analyses, and make informed decisions independently, using intuitive and easy-to-use tools.
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