page_title: RCA open-source application
section_title: Features
hierarchical_section_title: RCA open-source application / Features
caption_attribution_description: English: ROSA-RCA Open-Source Application
context_page_description: RCA Open-Source Application is an open-source management accounting application that aims to provide decision support information to managers. Resource consumption accounting is a principle-based approach to management accounting that combines German management accounting techniques known as Grenzplankostenrechnung with a disciplined form of activity-based costing.
  ROSA uses resource consumption accounting which is internationally recognized as the most robust form of cost management measurement for providing marginal cost analytics.
  ROSA is classified as a non-web open-source application, bringing many of the key modeling techniques of the RCA model to life. It provides a hands-on approach allowing the user complete interactive modeling capabilities. All the necessary files as outlined in the bullet points below, have been collected into one compressed downloadable zip folder. The application uses Microsoft Excel as its primary interface, thus the learning curve is greatly accelerated due to the familiarity factor.
context_section_description: ROSA uses the business intelligence (BI) application called Palo. Palo allows the ROSA base model database to be pre-configured so that the user can explore the look and feel of how a RCA model functions.
  Some of the primary features of the RCA open-source application are:
  RCA modeling
  cost objects in an RCA model
  planning a cost object's output and primary costs
  relationships in an RCA model
  storyboard of a pharmaceutical company
  Analysis of
  product costs
  resource pools and business processes
  fixed and proportional rates
  Maintaining
  resource pools and business processes
  products
  primary costs
  secondary costs (internal consumption)
  capacity
  rate calculation
  Configuring
  importing of master data and planning data values
caption: ROSA Copyright 2010 Alta Via Consulting, LLC
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