Complex configuration problems are often impractical to solve due to the exploding number of possibilities.
RDFox can quickly precompute conclusions according to rules, so that the user can make simpler, faster queries.
Cut retrieval time from days to seconds.
Data can be structured in many different ways that are not compatibly queryable.
RDFox allows the user to create an ontology -- a rich conceptual model that can integrate multiple views of the data.
Combine different data sources coherently to gain insight from a broader viewpoint.
Databases are designed to answer only a particular type of question, and only in a particular way. This makes it hard to answer unanticipated user questions, such as in the case of a chatbot.
Since RDFox represents data as a graph, all sorts of information can be stored in a coherent way. Also, thanks to its use of reasoning, RDFox can process queries formulated by non expert users.
Store all your data in a single database in an easily accessible way.
It is difficult to design an effective data model for regulatory compliance, as regulations can be very complex to model.
RDFox makes it easier to model complex business concepts, and also automatically infers facts based on existing data and rules that can be specified.
Avoid reputational and financial damage.