Vinge Free AB

Vinge solves Data Warehouse and Big Data problems for various size of companies with a novel Agile Semantic Data Warehouse product, Dat-a-MazeHouse, and a new method. Data Warehouse is about extracting data from various sources in the enterprise and putting it back together in a format so that knowledge workers can perform analysis to answer relevant questions about the business and make predictions for the future. Usually the amount of source data is large. The current method and technology goes back to 80's and is influenced by the state of IT and computing back then. It is probably the most retarded IT industry today. The concept "DW" is very much synonymous with a specific architectural style and set of relational DB technologies. As a result, DW projects are too slow, too costly, provide too low customer satisfaction and too little value compared to the investment. Vinge offers a new type of Data Warehouse system. It uses special type of NoSQL databases - Triple Stores, and is based on W3C Semantic Technology standards - RDF, OWL and SPARQL. These technologies allow us to provide a novel agile method that supports fast cycles from the initial question/hypothesis to the cleaned and aggregated data set provided for performing the analysis with the best fitting BI tool for the task. Instead of the typical 6 months of DW bootstrap time we allow to get the first answers in a range of 6 days to 6 weeks.