Product and machine configurations or customer-specific catalogs and maintenance packages are available as heterogeneous (analog or digital) representations and integration / standardization is cumbersome.

Information from a variety of sources needs to be connected at the "right" level of granularity to support the integration and representation of data required for automating processes and decisions.

Expert domain knowledge is today locked in the engineers' minds and, even when shared with others, is not machine-interpretable.

Low data literacy is slowing down data-driven transformation across the enterprise.

End users struggle to extract meaningful insights from data and often require the help of IT departments.

Analyses are not reusable when business use cases and user needs change.

metaphactory supports the process of making data FAIR and allows you to build a cross-data source and cross-departmental data fabric for business users that helps drive digital transformation.

The explicit semantics encoded in Knowledge Graphs help to implement automated explanation techniques that deliver transparency and ensure trust in automated decision making processes.

metaphactory allows you to model domain concepts and relations based on specific business needs and in a machine- and human-interpretable format.

metaphactory's out-of-the-box search and discovery capabilities allow end users to immediately extract knowledge from data.

metaphactory streamlines IT processes and allows end users to consume data on-demand, intuitively and in context.

With metaphactory, data becomes reusable so you can easily cater to new business needs, new use cases or new business users.