Data audit
The OMMAX data audit gives you full transparency into your data landscape. Through a structured analysis of systems, interfaces, and data objects, we uncover automation potential, strengthen compliance, and build the foundation for effective data catalogs, data ownership, and sustainable value creation.
Do you have a clear overview of your data?
A data audit provides the transparency your organization needs. It is a prerequisite for informed decisions, digital processes, AI model training, and meeting regulatory requirements. Whether you prepare reports, digitize processes, build AI applications, or must fulfill compliance obligations, a clear view of your data is essential. Yet historically grown and opaque system landscapes often make this difficult.
We create transparency across systems, data flows, interfaces, and business objects. You receive a data map, interface documentation, automation potential, and a business data object model. The result is reliable data transparency that enables process automation, data protection and compliance, systematic catalog development, clear data ownership, and faster time-to-market for data-driven products.
Four steps to complete data transparency
Key deliverables of the OMMAX data audit
Beyond compliance: The added value of a data audit
Process automation
Identify manual interfaces and reduce redundant data entry.
Data protection & compliance
Use the data map as a foundation for compliance and IT security processes.
Building data catalog
Leverage the data map to systematically build your data catalog.
Data ownership
Define responsibilities based on the business data object model.
Accelerated time-to-market
Speed up the development of data-driven products through increased data transparency.
At OMMAX, we believe data is only as valuable as the trust organizations can place in it. With our data audit, we transform fragmented information into strategic assets that enable confident decision-making and sustainable competitive advantage.
Dr. Christian Fürber
Partner Data & AI
Your partner for data audit, governance & data excellence
Turning intelligence into impact with proven partnerships
Want clarity on your data? Discuss your data audit with our experts!
Dr. Christian Fürber
Partner Data & AI
Daniel Soujon
Partner & CTO
Eva Bammann
Director Data & AI
Everything you need to know about the OMMAX data audit
A data audit creates transparency around systems, data flows, interfaces, and business objects. The results — including a data map, interface documentation, automation potential, and a business data object model — form the basis for compliance, data ownership, process optimization, and building a data catalogue.
A data audit follows four steps: identifying relevant systems and experts, tailoring the assessment, conducting interviews to capture the data lifecycle and interfaces, and preparing documentation for integration into the data and IT system catalogue.
A data audit enables process automation, supports compliance, facilitates the development of data catalogues, defines data ownership, and accelerates the creation of data-driven products.
By documenting data objects, responsibilities, and interfaces, a data audit provides the functional foundation for governance structures and supports the introduction of clear roles, policies, and processes.
The acquisition of Information Quality Institute GmbH strengthens OMMAX’s expertise in data governance, data quality management, master data management, and data protection. The combination of the OMMAX platform and the IQI Data Excellence Framework provides a robust foundation for data quality, efficient processes, and Industrial AI/IIoT transformation.
