implementation

• Develop the necessary semantic data schema for your company-specific requirements
• The schema is stores as a graph structure and can be extended quite easily

• UI elements like tables or forms are available as preconfigured widgets
• The "flow" of an application is stored as a graph 
• Consistent use of the graph philosophy enables fast and flexible low-coding implementation of role-specific micro-apps

• Our paradigma is:
  better several small and role-based micro apps than one large - in the worst case cumbersome - application.
• Micro Apps are functionally optimized, easy to learn and cause a high user acceptance.
• If the process changes, the micro apps are adapted. The data model is the "constant part".
• The rule-based composition of "context boxes" allows the optimized provision of data according to role and task 

As a partner of neo4j we show how the technology of graph databases can be used in industrial environments.

Graph databases offer a performance and flexibility advantage compared to classical SQL databases, especially for very large and highly linked sets of data.

Neo4j has a very active developer community and is pushing the development of the programming language Cypher. Therefor we selected this company as to be the perfect technical partner for a long-term oriented data management strategy.