Data Fabric

Data Fabric is a new architectural concept that extends traditional data management approaches. Corporate data becomes centrally available. The approach brings users together with the data, automates data processing and thus enables faster and simpler information supply with the aim of being able to make more data-driven decisions.

Single Point of Analytics

A central component of Data Fabric is access to the data. This should be made as simple as possible for the user. Data Fabric connects distributed data from all areas of the company and data silos without having to keep the data redundantly in a data warehouse or data lake.

If access to corporate data is simplified, access to the data must also be controlled. A central data catalog offers the possibility to find data and at the same time ensures data governance with a high degree of automation.

Data Fabric connects all stakeholders who develop data products in the areas of analysis, reporting, forecasting, planning, simulation and artificial intelligence (data teams) or use the data product (business departments). In doing so, Data Fabric offers self-service as well as support through a high level of automation based on artificial intelligence across the entire data value chain from raw data to decision-relevant information.

Data Fabric in combination with IBM Cloud Pak for Data increases value through the intelligent collection, organization and use of available data!

Mathias Bednarz | Head of Business Development & Strategy

Added value of Data Fabric

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Data Integration

Integration of data silos – data virtualization means that data does not necessarily have to be moved or stored redundantly.
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Data Security

Unified data governance – the automated application of rules across all enterprise data ensures adequate data security.
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Data Organization

Centralized data access – Self-service simplifies and promotes data discovery and thus agility to create new information and knowledge.
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Data Usage

Cross-domain services – interlocking services from the areas of analysis, reporting, forecasting, planning, simulation and artificial intelligence provide the basis for offering a suitable data product for every use case.

Our offer for you

We support you in modernizing your data architecture both technically and organizationally.



Mathias Bednarz

Head of Business Development & Strategy