Tally.Server 9 is an Enterprise Class product that helps fast growth medium and large size businesses to improve their business efficiencies. It enhances the power and control of Tally.ERP 9 Gold users by converting the existing ‘peer-to-peer’ kind of data access to ‘server based’ data management.
Tally.Server 9 is built with multi-version concurrency capabilities that provide the most efficient scalability.
Experience the convenience of working on a local copy of data even on a shared environment.
Tally.Server 9 prioritizes every request equally, avoiding any queuing of access or modification requests. This is made possible as Tally.Server 9 ensures data access/modification by a user is isolated to his/her own snapshot, thus allowing other users to operate smoothly.
Performing operations in a frictionless environment
Tally.Server 9 enables multiple users to perform multiple actions, all at the same time. Two or more users can execute their tasks efficiently without any time lag. A user can view a report while another user makes changes to the same report at the same. Data is real-time, consistent, and accurate.
Providing controlled access to data files
When data files are managed through Tally.Server 9, the location of the data on the server are not required. The name of the data server is sufficient to access and operate Tally.ERP 9. Operations over the company data like backup and restore are controlled with server level permissions available with authorization only.
Minimizing instances of system unavailability
- Tally.Server 9 assures zero downtime. Continue recording transactions or viewing reports while taking backup with no compromise on speed of access or accuracy.
- Tally.Server 9 limits discrepancies at the client end to the client systems and ensures that neither data on the server nor the operations of other users get impacted. Thus, minimizing system unavailability.
Analysing system usage and user activities to optimize the various processes and time spent on them
Authorized users can manage the user sessions such as who is logged in and activities in progress. Also analyse work patterns and disconnect users, if required, to optimize processes or system usage for enhanced productivity.