Ideas

Description: Creating Business Rules in Jedox can sometimes be a time-consuming and manual task. While the platform provides some guidance, users are still required to write rules largely on their own, which can be challenging—especially for compl...

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 ...

Regarding the formatting I like to suggest a change request: 1) For dates: just follow the formatting of the cell for as well OUTPUT as INPUT. The same as Excel does. Now we have the situation in Jedox web that the input of dates must be in the la...

we defined a layout where (e.g.) comboboxes have a certain length and position. we created a template with some predefined comboboxes we use in nearly every report. However, when I have to insert a new column the comboboxes are shifted to the righ...

in SAC there is the possibility to create such a rule: [Marketing Cost] = [Revenue] * [Marketing Cost % of Revenue] | INVERSE ( [Marketing Cost % of Revenue] := [Marketing Cost] / [Revenue] ) it allows you making Marketing Cost % of Revenue and ...

The audit history has skyrocketed and the size of the Audit.sqlite file is more than 1GB. The performance becomes poor. And despite the audit history is set to be 365 days, the aged audit history is not removed. Currently, the only way is to delet...

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,...