MDM is widely accepted as the basis of data
warehouse design as it provides comprehensive and
easy to understand visualization of data for nonexpert
end-users [5, 6, and 10].
MDM methodologies can be categorized within
Data-driven also referred as supply-driven,
Requirement-driven also known as goal or demanddriven
and hybrid frameworks. Data-driven applies
techniques and procedures applied on a relational
schema on data sources to identify
multidimensional data. While the Requirementdriven
approach give more relevance to the user
multidimensional requirements and later map them
onto the data sources. Also, the hybrid approach
combines both frameworks. This approach designs
data warehouse from data sources but in
consideration of the end-user requirement [5, 14,
12].