CUSTOM ANALYSIS AND REPORTING


VEA offers comprehensive products for developing, managing, and optimizing a flexible data architecture that efficiently supports any enterprise information initiative.

 



The business processes developed by your organization must be easily available for your architects and their customers. VEA Solution Accelerators guarantee results for the continuing success of your BPM and EA initiatives. VEA offers comprehensive product for developing, managing, and optimizing a flexible data architecture that efficiently supports any enterprise information initiative. Our data management and real-time transformation products meet the widest range of information needs by enabling direct access to data in databases or retrieval of detail data via drill-through.

We employ techniques to produce high-quality data, a reusable infrastructure, and comprehensive metadata, including:

  • Using proprietary code to extract, transform, and load data directly into a data warehouse or mart
  • Directly accessing operational databases or the files that service operational systems
  • Transparently drilling and joining data warehouses to operational data
  • Using an operational system's own application functions to access data
  • Performing sophisticated data integration, transformation, and manipulation in real-time

ARIS REPORTING SERVICES

The JavaScript-based ARIS Report component as well as the macro functionality allows you to evaluate selected database contents in text form. Evaluations can be created as files of various formats (e.g. MS WORD/EXCEL, Adobe PDF, HTML etc.), which users can edit further, using standard applications. Users can also export model graphics in such formats as WMF, GIF, JPG, and BMP. Some reports can also write data to ARIS databases. In addition, database contents can be output automatically for translation, and translated texts can be entered back into the database.
 
With ARIS Business Designer or ARIS Business Architect, users can also create knowledge management models by using a knowledge object to indicate knowledge. In these knowledge objects, the user can link to external sources (e.g., documents, URLs, or knowledge management systems, etc.) so that external documents can be triggered from the model.

 

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