There is no need to aggregate the data into OLAP cubes. With an easy-to-use data mashup tool, users can quickly pull together data that they want to visualize or report on. As requirements inevitably change over time, there is a repetition of the arduous and time-consuming process of re-examining requirements and altering ETL processes. A similar cycle occurs even for organizations with mature business intelligence environments. In either case, this restarts the data gathering and ETL process creation which adds to the project timeline and causes frustration for both IT and the business. It could be that they need deeper drill-down capability, some other transformation of the data, or that they simply forgot to include a piece of data in the original requirements. Months could have elapsed by this time, and the needs of the business easily may have changed such that different data is needed.Д®ven if that is not the case, it is usually not until end users actually interact with their dashboards or reports that they realize exactly what they want. Time is spent cycling back and forth on the BI consumables, and this entire process often requires hiring BI consultants to steer, which only adds to the cost.ДЄ major problem arises due to the amount of time that passes from the beginning of the project to the time a business user gets his or her first interactive dashboard. Only once this is completed, can the first dashboards or reports be built. ETL tools must be used to load the data into the warehouse. It is assumed a heavy duty warehouse and hardware need be purchased. Then comes data inventorying to determine what data is already being collected and what is not.

When starting from nothing, the BI project begins with a lengthy requirements gathering process from the business. The Problems with Traditional Business IntelligenceДЄ very time consuming and expensive methodology has been created and perpetuated by the 'big BI' vendors. The end result is maximum agility and reduced time to deliver BI output. This means even business users can combine fields from different data sources that were not previously modeled, and even import external data sources, such as spreadsheets, to create and share a new dashboard or report in the BI environment. With the ability to access almost any data source possible combined with an intuitive drag-and-drop mashup design tool, InetSoft's Style Intelligence offers unique capabilities for end-user defined data mashup. Since 1996, InetSoft has been innovating in business intelligence applications including pioneering the area of enterprise data mashups.

By being able to connect directly to operational data sources and easily create mashups, BI architects can experimentally design dashboards and reports with BI consumers before committing to changes in ETL processes and data warehouses. InetSoft makes an enterprise mashup server that includes a dashboard and reporting front-end for the visualization of mashed up data.

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