Manage Datasets with Rules
Most organizations have plenty of data but driving value from that data often requires complex manipulations. Firestorm allows the business person who owns the data and who is seeking information from it to manipulate the data into a useful form. Importantly, no IT intervention is required at all.
Simple Design Model After only a few hours of training business users will be able to illustrate their data manipulation rules within Firestorm using a visual technique we call Spark Mapping. The logic in these manipulation rules is built entirely by the business user - no IT intervention is required. Time to market for a new, or amended, data manipulation is measured in hours or days, not weeks or months - allowing new management information to be generated when the business needs it, not when IT can deliver it.
Data Solutions Firestorm is so flexible it has been used to deliver many different types of systems. Some examples include:
- Extract Transform Load (ETL) tools and applications
- Data validation
- Data testing
Drive Integration Firestorm has been designed with integration in mind. It can manipulate data gathered from many different sources simultaneously and then write the results into many different targets. Again, minimal IT intervention is required.
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