– Mastering the challenges of a data-driven and information-flooded world –
Learn how knowledge graph based data management accelerates your enterprise’s digital maturity.
Make your DaaS projects scalable and profitable.
Speed up your B2B & B2C collaboration.
Integrate across all company levels.
Make GDPR compliance a competitive advantage.
Transform into a knowledge-driven bank.
Digitization is not (only) about creating innovative use cases based on enterprise data, but devising an enterprise data innovation architecture, which facilitates the rapid and agile creation and facilitation of novel and unforseen use cases.
Such novel data-driven use cases require a common understanding of the structure and meaning of data among and data accessibility for individuals, departments or partner enterprises in the value chain or industry.
Semantic technologies such as vocabularies, Linked Data, knowledge graphs or Semantic Big Data Lakes are mature and have proven industrial strength to create a systematic enterprise data innovation layer to facilitate innovate data-driven use cases and enterprise agility in general.
As a result of deploying these technologies in the enterprise, data can be seamlessly exchanged in a secure way between trustworthy parties in the enterprise and value chain to increase agility, efficiency, effectiveness and ultimately realize the potential of digitization.