InetSoft Offers a BI Platform Enabling End-Users to Do their own Data Mashup

Data Mashup, at its basic definition, means combining disparate data sources that were not previously architected to be used together. In a data warehouse environment with rigid ETL process, data mashup yields other benefits, particularly in allowing prototyping of data manipulations before committing to new, official ETL definitions and transformations. Data mashup is a central capability of InetSoft's Style Intelligence business intelligence software. It's a platform focusing on operational BI with an intuitive user interface that accelerates usage of BI. Requirements as diverse as reporting, OLAP, scorecards, dashboards, visualization, and ad hoc analysis are all met in a unified application.

Good data mashup example

Good data mashup sample

Example of dashboard using data mashup

Key benefits include:

Exploring data with self-service solutions:

A visualization driven approach allows users to perform their own reporting and analysis with very little IT support. By using familiar graphical objects and an intuitive Web 2.0 interface end users are empowered to easily explore, manipulate, and display data to gain new insights.

Connecting easily to existing data sources :

With its patent pending Data Block technology, InetSoft simplifies the process of accessing data. Users can retrieve information from data warehouses, transactional databases, or other sources regardless of whether they are stored as relational databases, XML, flat files, etc. This data can then be dynamically mashed-up, manipulated, and transformed as Lego like data assets.

Meeting your ROI goals :

InetSoft has flexible pricing models that allow you to deploy a solution that accommodates your unique situation. InetSoft�s architecture provides a total BI solution within one unified application. However, if your needs dictate, deploy just the components that you need.

Scaling to meet the needs of the organization:

Built upon open J2EE standards our application provides a solution that incorporates clustering, load balancing, and failover to provide high availability and quick response time. Additional features such as page streaming, data caching, and performance tuning ensure optimal operation as your needs increase.