Raven Fusion goes beyond technological boundaries and allows the creation of an information landscape in which data remains in its original source.
Combine this with a virtual mesh of all connected systems, infrastructures or sources is created for instant insight discovery and action purposes.
DTACT developed a unique and fully agnostic technology to break the data silos, to speed up any Data Warehouse project, or even to render them completely unnecessary.
By following a traditional Extract, Transform, and Load (ETL) process or by creating a Data Mesh, we allow you to tap into any data source, in any language or any format using our RAW data and NONTOLOGY™ methodology.
Owning many different types of data sources require more flexibility when it comes to fusing data. Ideally, you want to access data 'as- is' and not worry about reformatting it. With our technology, you'll always have the opportunity to go back to the source with the following benefits:
We're not saying having an ontology isn't useful at certain points in time but what if it would be completely unnecessary to define this upfront? Wouldn't that save up a lot of time and frustration?
By using DTACT's NONTOLOGY™ principle, it is no longer necessary for partners, internal departments or distributed teams to agree on the standardization of data models first before having meaningful data integration. Book a demo with us to see how this works together with our RAW data principle.
With Raven Fusion Mesh, you can search through
connected, structured, unstructured, and siloed
data sources to find answers based on the query
command. And, like well-known search engines,
you'll have immediate results without building a
data lake or datawarehouse first.
Think of your organization's data like a big city with
different neighborhoods. Each neighborhood represents
a different aspect of the data. In a data mesh, instead
of trying to cram everything into one central downtown
area, you decentralize. Each neighborhood manages
its own data, making it easier to navigate and control.
