InetSoft's Style Intelligence™ is a data intelligence platform. At its foundation is powerful data mashup software that enables fast and flexible transformation of data from disparate sources, which can either supplement or obviate a data warehouse solution.
With the data ready, users of all skill levels can design interactive dashboards and visual analyses that are instantly shareable across all devices.
While other business intelligence applications may strive for similar end-user ease-of-use and the compelling-looking visualization technology that InetSoft's solution offers, enterprises and OEMs often select Style Intelligence for its ability to solve data management challenges as well as its IT-friendliness.
"We use Style Intelligence as a BI platform for Data Warehouse systems which we design. The architecture which is open to easy integrations with other modules." - Tomasz M.
"There are many options for structuring your reports based on your system requirements, the product makes very aesthetically nice dashboards, it is versatile." - Danielle C.
With an optional module, InetSoft makes machine learning accessible to non-data scientists and makes the efforts of data scientists more efficient. An InetSoft data engineer can help configure the data source set up and help choose which built-in ML models to try. With clicks of a mouse a business person can iterate models and in the same interface, visualize the results of the model and understand which factors are driving the results.
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High performers are vendors who rank in the one of the two right-hand quadrants G2 Crowd Grid for Business Intelligence Platforms based on verified end-user reviews. InetSoft earned this distinction for the third season in a row competing against 123 other BI applications.
Headlining the dozens of enhancements in the latest release of Style Intelligence is the completion of the implementation of HTML5 in parts of the platform. Next comes the user interface refresh to provide a contemporary look and feel. Also, now available is an easier approach to machine learning that unifies the running of models and the visual analysis of their results and impact drivers.
InetSoft Technology Corp.
InetSoft Technology Corp.