Objectives:
In this presentation we are going to talk about main purpose for implementing DW – decision support system. Also descusion will take point in explaining pre(post) implemntation problems, growing demands and ways how they were solved. Furthermore presentation will cover overviewof ZABA DW architecture and improvements gained from implementing BI technology in Zagrebacka bank.
Outline:
Introduction
Environment
Problems
System architecture
Gains and improvements
Full Abstract:
Lack of information? Your competition understands their client needs better then you do? Don’t have clear picture of your expenses? This are some questions for witch BI technology must provide answer. In financial industry time is critical, if you don’t provide exactly what client need, someone else will. Distributing information at the right time to the right people in right format is essential for decision making. This is one of the main reason to start implementing BI technologies. In order to do that you have to centralize your data (DW) and work on data quality 24/7. In our paper we will clarify ZABA’s data environment on which DW was build (implementation problems, platform, software, organization etc....), implemented mechanisms that help us to improve ETL processes and DW monitoring, including gains and improvements review. In the end we will discuss about our future layout for developing our BI processes.