Challenges with corporate data
Corporate data encompasses all structured and unstructured data that is generated or used within a company, for example from processes, customer interactions, and systems. It forms the basis for informed decisions, increased efficiency, and strategic planning.
Today, CIOs in manufacturing companies face a major challenge: data volumes are constantly growing, but at the same time it is often unclear how these large amounts of data can be used sensibly and effectively. The result is a fragmented data landscape: information is scattered across departments, maintained differently, or only accessible with considerable manual effort.

This is precisely where pronubes comes in. The real value becomes especially apparent when companies start moving toward data driven production. With a consolidated data foundation, production processes can finally be steered based on facts rather than intuition. Machine conditions, quality metrics, throughput times, material availability, all of this is available in real time. This makes it possible to detect bottlenecks earlier, avoid downtime, and continuously optimize processes. It also simplifies the path toward initiatives like predictive maintenance or AI-driven quality forecasting. Production transforms from a reactive environment into a proactive, data-driven system that improves with every cycle.
The result is a modern production and data landscape where all departments work with the same reliable information. Decisions become faster and more well-founded, risks are reduced, and the entire organization becomes more agile. For the CIO, this not only means less complexity in day-to-day operations but also a solid foundation for future digital initiatives. pronubes thus becomes an essential building block in helping the company evolve into a truly data driven organization.
At the same time, it is often unclear how reliable, complete, or up-to-date corporate data actually is. Many processes and systems have been developed over many years, expanded, adapted, and now function somehow, but often side by side rather than together. Added to this are increasing requirements in terms of data protection, compliance, and traceability. Without clear rules, responsibilities, and transparency, the data landscape can quickly become a real risk for the company.
This is exactly where pronubes comes in. The platform brings IT and OT together and creates a unified view of all relevant data. Machines, production lines, ERP, MES, quality systems, everything can be connected and integrated in real time. For CIOs, this means they no longer have to deal with isolated solutions or struggle to manually merge data from different systems. pronubes establishes a central data backbone that provides consistent, structured, and accessible information to all stakeholders. As a result, data quality improves automatically: errors, duplicates, and outdated entries become visible and can be corrected.
Another important aspect is the transparency pronubes provides with regard to data protection and compliance. When it is clear where data comes from, where it goes, and who has access to it, regulatory requirements become much easier to fulfill. At the same time, this transparency provides the foundation for effective data governance. Roles such as “Data Owner” or “Data Steward” can be clearly defined, and processes around data handling become traceable and manageable.


