Capish® has revolutionized the way that complex data is stored, making data accessible to anyone in an organization at any time.
There is no need for specialized programming or formulas.
The data is stored in a completely new format, in whole concepts rather than fragmented tables, so analysis is a quantum leap ahead of other solutions.
Our way is faster, more intuitive, and all of the data is accessible all of the time.
Data and metadata are stored together as simple concepts and use our technology to extract the information in the same way as the human mind processes data.
With Capish Reflect data becomes faster, more intuitive, and it cuts out the data processing steps that require specialized knowledge.
Ontologies and Graph Databases
When it comes to managing data, ontologies are the way forward. Ontologies provide a way to describe all the things that happen around you and put them into context by establishing how these things are related to each other. Ontologies provide the well-defined structural framework, that can be easily navigated to find the information you need. But Ontologies are not static, they can evolve as our understanding of a particular topic evolves.
Ontologies provide an excellent backbone for any information system, but their use has been constrained due to the fact that information systems tend to be built on top of relational databases, which require predefined data models which makes the storage of complex data – well complex.
These constraints can be lifted when the underlying ontology is paired with a graph database. In a property graph database you are looking at individual data objects, that are connected to each other through meaningful relationships (in contrast to the artificial relationships created in relational database).
Graph databases are flexible and easily expandable. New nodes and relationships can be added without disturbing the existing graph. As a consequence, the data model can evolve with the understanding of the respective domain. This means that data can already be exploited or evaluated before the final data model has emerged. Repurposing of the data is also much easier as the perspective and focus can be adjusted.
What makes the Capish Ontology so powerful is the fact that it organizes data the same way we think. Moving from thought to thought or concept to concept, putting them together to form a context, a conceptual data model.
This conceptual data model translates directly into the graph database model. There is no need for transformations. Data and how data is connected can be described as a graph. The graph database makes it easy to store any data about the data as part of the model and to understand and work with the model.
Each object is independent from the next and can have any number of properties or attributes. Capish has coined the term Holon to describe these objects. They fulfil a dual function – a storage container for the raw data as well as a descriptor for the underlying concept for which data is stored.