Ideas

Description: Jedox AI should understand and analyze user queries, automatically selecting the correct dimensions and elements for reporting. Instead of manually setting filters, users can simply ask an AI chatbot for specific data, and Jedox AI wi...

Description: Many customers connect to the same external sources (e.g., Salesforce, SAP, ...) and use similar Integrator jobs to extract, transform, and load data into Jedox. Currently, these jobs must be created from scratch for each new customer...

In our Jedox system, the element name is typically a unique code assigned to each element, while the alias serves as a description that helps users understand it more easily and is useful for reporting purposes. Currently, JedoxAI only recognizes ...

No option to filter access by IPv6. unfortunately there are already some ISP that dont assign IPv4 any more. Currently Jedox does not support the functionality for IPv6. This would be needed and usefull for those not having an IPv4 anymore e.g. Vo...

The import folder for manual jourmal should allow subfolders so that journals from different departments can be placed in different folders. There is currently no option to navigate to subfolders in the import folder. The selection box in the "...

We need to understand how many Cores are avilable to get any use out of the CPU usage KPI. 70 % usage on two core is a lot different from 70% usage of 16 core.

Current Challenge: Troubleshooting/ tracking the data is nightmare Root Cause: When a user create a manual journal entry and try to post the journal system throws error message "Invalid" with balance constraint "Legal Entity" and allows to post ev...

Currently, only data models (dimensions / cubes) can be transported between different instances via the cloud console.It would be beneficial if this would be also possible for designer and integrator folders.

Performance monitoring are available in the statistics section in the cloud console. But some statistics about olap server and sss are missing (all the statistics available in on premise plateforme) : NB USER simultaneous Workbook Etc ...

Anomaly detection in financial consolidation is the process of using AI and machine learning to identify unusual patterns within the data used to combine financial statements from different parts of a company. This helps pinpoint potential errors,...