Rapid Iterative Development
Transforming raw data into visually intelligible information is naturally an iterative, incremental process of data manipulation and visualization. InetSoft's intertwined, on-the-fly data modeling and data view building experience ensures highly productive development. Built-in data mashup for disparate data sources makes all type of cloud and on-premise data easily accessible.
Self-service success depends on a low learning starting point and a gradual growth path. This requires a good foundation laid by professional development. InetSoft allows development's data models and data views to automatically become such a foundation. A fine-grained self-service view composer tool empowers all users of different needs and skills.
InetSoft's Big Data analytic engine is the only one on the market that delivers in-memory powered high performance even when deployed standalone. To scale to Big Data needs with high availability, InetSoft's analytic engine can be natively deployed onto an Apache Spark platform. InetSoft's own Big-Data-in-a-Box pre-configured Spark package minimizes Big Data skill needs.
The rapidly advancing Apache Spark platform is taking
data intelligence to a new level with real-time streaming, machine
learning and other technologies. InetSoft's analytic engine natively
deployed inside Spark allows organizations to easily profit from machine
generated intelligence. Advanced data models produced by data
scientists can be effortlessly mashed up with other data to deliver real
Watch a video demo of the capability of this Reporting & Analytics module here: https://www.youtube.com/watch?v=bQI2kFmwzmk
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