The architecture of a Decision Support System is determined by the final results of the Analysis et is composed of 3 different parts : DataWarehouse, specialized Hypercubes and Front-end applications.
The physical architecture of the relational DataWarehouse must satisfy to the following objectives :
Data exhaustiveness regarding the Analysis
recommendationsEvolutive physical structures to allow
adding and modificationsOptimization of data storage to deal with
huge volumesAccessibility to Hypercubes building
proceduresData naming and codifications transformation
and normalizationStructural independence from operational
data sourcesThe physical architecture of multidimensional Hypercubes have to reach these objectives :
Data exhaustiveness regarding the Analysis
recommendationsMultidimensional structure corresponding to
analysis specifications and featuresGlobal and partial calculation
managementPartial data allocationOptimization of calculation strategies to
deal with volumesOptimization of data storage to deal with
volumesThe Front End applications have to be chosen and developed to correspond to different user profiles et provide them the informations defined in Analysis phase.
These goals will be achieved by INDA Technical Architects using our strong experience and thorough technical design methodology.
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