The gastronovi statistics module
All important key figures at a glance - in real time & from anywhere
The gastronovi Cockpit automatically bundles all data from the gastronovi checkout system, table reservation and merchandise management system and enables simple graphical evaluation. Weak points become visible at a glance and can be efficiently eliminated. The gastronovi Cockpit is part of the free statistics tool in gastronovi Office.

A diagram says more than a thousand numbers

CREATE INDIVIDUAL DASHBOARDS
The gastronovi Cockpit also helps you to maintain an overview in business management. With just a few clicks, you can create custom charts and display them collectively on dashboards. Focus on the essentials and grasp your current situation at a glance.
PREDEFINED KEY FIGURES
You like entrecote better than tables? We can well understand that. To enable you to benefit from our cockpit even without prior business management knowledge, we have already predefined a large number of key figures that are specifically tailored to the needs of gastronomy. And if you do want to think outside the box, simply use our predefined key figures as a template for your own individual calculations.
PERFECT INTEGRATION
The more modules you use from gastronovi Office, the more key figures you can create: Currently, you can choose from over 30 system-internal values and combine them in the most diverse ways: Whether turnover per guest, turnover per table or Renner/Penner evaluations - the evaluation possibilities are manifold. You can define up to 5 comparative values per key figure and thus easily track developments and trends.
INDIVIDUAL VALUES & EVENTS
By entering individual values, you can easily capture data that is not automatically available in gastronovi Office. Whether it's a large investment, separate fixed costs, or a sales target. You can use the "Events" function to enter special times and periods. For example, if you had water damage that cut your seating in half for 2 weeks, you can record that with this. Thus, even years later, you understand why a deviation occurred.

