Linking Context to Data Warehouse Design

Data warehouses are now widely used for analysis and decision support purposes. The availability of software solutions, which are more and more user-friendly and easy to manipulate has made it possible to extend their use to end users who are not specialists in the field of business intelligence. The purpose of this article is to provide an approach that assists non-expert users in the data warehouse design process and integrates their contextual data. As well as to provide a method that assists non-expert users in data warehouse design process while incorporating their contextual data. Our proposal consists of a context model and a comprehensive Data Warehouse construction method that attaches the context to data warehouses and uses it to produce customized data marts adapted to the decision makers context.

@article{Bouchra2019,
  title     = {Linking Context to Data Warehouse Design},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {10},
  number    = {1},
  year      = {2019},
  publisher = {The Science and Information Organization},
  author    = {Aadil Bouchra and Kzaz Larbi and Ait Wakrime Abderrahim and Sekkaki Abderrahim},
  doi       = {10.14569/IJACSA.2019.0100102},
  url       = {https://doi.org/10.14569/IJACSA.2019.0100102}
}