Data-driven approach, also known as supply-driven approach applies bottom-up technique[1], [7]. It was
introduced by Inmon (1996) with focus on underlying operational data source as a basis to established scope and
functionality of DW [6],[14]. Data-driven approach starts with identifying all available data within transactional data
source and analyses it in order to generate data mapping. Data issues pertaining data overlapping, aligning
ambiguous terms, and code mapping will be sorted out to ensure mapped data can be reengineered to build logical
data schema. User requirements is determined by selecting portion of data available in data mapping [14]. Since
main role in eliciting requirements plays by database administrator, it diminishes business user involvement.