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The following examples provide a sampling of precisely formatted reports that are easy to create, view and distribute with the Intellicom Business Intelligence framework. These examples demonstrate capabilities to deliver all types of enterprise reports:

  • Operational Reports
  • Interactive Reports
  • Parameterised Reports
  • Dashboard Reports
  • Multidimensional analysis
  • Time Trend Analytics


Operational Reports
Delivers real-time data available from operational systems, such as ERP and CRM systems in a pixel perfect format and multiple presentation outputs   such as excel, pdf, html etc

 

Interactive Reports

End users are capable of controlling output with simple mouse clicks and drag and drop functionality to create entirely new views of data, all from the same report and without requiring assistance from IT.


Parameterised Reports

End users can personalize the report content by providing the report parameters suited to retrieve only the information needed. With its intuitive prompting elements, end users can query for relevant information needed. For instance, at run time a user may specify that they want to see the Customer sales analysis for a specific sales region and time period.

 

Dashboard Reports

Through dashboards, end users can organize relevant content in a unified view without needing to toggle between different reports. For instance a unified customer view can be delivered to analyze summary information and detail transaction data that may come from multiple data stores.

 

Multidimensional Reports

End users can take advantage of multi dimensional analytic reporting on any tabular report taking advantage of powerful analytic capabilities, such as filtering, slicing and dicing data and performing on line dimensional calculations. This feature is seamlessly integrated into every enterprise report allowing users to conduct detailed analysis, without need of IT support.

 

Time Trend Analytics

Create and view reports that provide analysis of data to identify underlying long-term trends. This data view can prove useful to understand not so obvious performance patterns and conduct forecasts to predict future figures, e.g. by the technique of moving averages.