CASPAR is a modern ETL framework aspiring to harvest the fruits of Semantic Technologies and knowledge graphs.
90% of the world’s current digital data was produced in the last two years, and the U.S. alone produces upward of 2.6 million gigabytes of internet data every minute. With so much information, it is no wonder many organizations are paralyzed with indecision wondering:

• What do we do with all this data?
• How do we manage it, use it and extract value from it?

In the big data era, an organization’s approach to mining and managing information could lead to starvation in abundance.
Within this context, CASPAR provides a domain-agnostic tool for the automated retrieval and fusion of in-house structured data from disparate sources into domain-specific semantic models (ontologies), in order to enable the discovery of new knowledge and facilitate the extraction of actionable insights in a way that simulates the human reason.