Dashboards for Business

InetSoft Technology is a BI software provider offering a business intelligence suite called Style Intelligence. Style Intelligence includes two sub-products for dashboards and reporting in the form of Style Scope and Style Report, respectively.

Style Intelligence Overview

InetSoft Style Intelligence is an operational business intelligence platform that features a powerful data mashup engine for the creation of dashboards, visual analyses, and reporting.The unified, easy-to-deploy, easy-to-use business intelligence solution maximizes self-service and serves both enterprises and solution providers.InetSoft's BI software leverages a powerful patent-pending Data Block foundation for real-time data mashup and presents information through interactive dashboards, enterprise reporting, scorecards, and exception alerts.

End-User Defined Data Mashup

Data mashup is the process of merging disparate data sources that were not initially meant to be combined. Doing so facilitates the display of data from multiple sources and makes mathematical analysis of the data possible.What is unique about InetSoft's data mashup engine is the capacity for end-users to define their own data mashup.

Data mashup, on an non-technical end-user level, is conducted through a simple drag-and-drop interface. At a technical level, IT professionals have access to a full Java scripting engine.Through this engine, trained users can customize the look and feel of created dashboards and reports, or set permissions and parameters for existing and new users.

What Makes Data Mashup Beneficial?

Data mashup solves a fundamental information management problem that all enterprises face: how to provide business intelligence reporting across all the multitudes of different types of data sources, internal, external and user generated ones.It enables maximum self-service, given that end users can pick and choose data from any data source without having to know the details of the underlying parent.

The data mashup engine also provides a very good complement to a data warehouse environment. It can handle transient data access needs and is good for prototyping the adoption of new data sources.Including data mashup technology in a BI app that has the visualization layer is better than just providing a data virtualization solution that then needs to be coupled with a BI front-end.The end-goal of any mashup is always to visualize the results, so why purchase two separate solutions to achieve that goal?