Model Group unified its data in Snowflake and created a single source of truth
Unifying data from key systems across the entire group into one scalable data platform for reporting, planning, and future AI.
Single source of truth
Data unified from 10 systems
Switzerland
Manufacturing

Corporate Group with 400+ Stores
Tomáš Veselský
Process development manager
Enterprise data warehouse
Centralization of data from enterprise systems
Qlik
Snowflake
Problem
The company operated a broad range of enterprise systems — from SAP for production and finance, through project and process management tools such as CPMS and K2, to HR systems and Jira. Each of these systems worked with its own data, which was isolated, difficult to connect, and often inconsistent.
From a business perspective, this meant limited transparency, complex data work, and dependence on manual reports. At the same time, the company realized that without a modern, scalable data platform, it would not be able to systematically develop analytics or prepare for the future use of AI.
Solution
We built a central data platform in Snowflake that unified data from key systems across the entire group into one governed environment. As a result, the company gained a single source of truth, faster access to data, and a solid foundation for further development of analytics and AI.
Before
After




Solution
We reached a point where we were essentially an Excel-driven company. Many things were based on systems, but we still connected them using Excel. We definitely had multiple sources of truth. Today, thanks to EMARK, we can work with data faster, more systematically, and with much greater confidence than before.
Tomáš Veselský
Process development manager
More case studies
Let’s talk about your data.
Whether you are working on planning, reporting, or AI, we will recommend the next step that makes sense in the context of your business.
