Rank Critical Success Factors (CSFs) of Data Warehouse and Business Intelligence (DW/BI) Implementation in Banking Sector Using Analytical Hierarchy Process (AHP)

Abstract

Data is a very important asset for a company in supporting decision making. The implementation of Data Warehouse and Business Intelligence (DW / BI) is a step of a company to manage data as an asset. This study aims to evaluate the Critical Success Factor (CSF) for DW/BI implementation in an Indonesian financial institution that provides conventional and sharia banking, PT XYZ. Data are obtained through a survey of key person who involved in full cycle in the 2 phases of DW/BI implementation at PT XYZ and had roles and responsibilities that could provide a holistic view of the people, process and technology dimensions during the project. Analytical Hierarchy Process (AHP) method is used to calculate the weight of CSF influence in the context of people, process, and technology. CSF ‘Project Leader / Champion’ has the most influence in the context of people, ‘well defined system requirements' rank first in the context of process, and ‘source system’ has the biggest influence on the context of technology. The criterion of people is considered the most influential compared to the criterion of process and technology. Source system sub-criterion in the technology context has the most influence compared to other CSFs globally.