Design and implementation of data warehouse with data model using survey-based services data

Abstract

Various business organization or government bodies are enhancing their decision making capabilities using data warehouse. For government bodies, data warehouse provides a means by enabling policy making to be formulated much easier based on available data such as survey-based services data. In this paper we present a survey-based service data with the design and implementation of a Data Warehouse framework for data mining and business intelligence reporting. In the design of the data warehouse, we developed a multidimensional Data Model for the creation of multiple data marts and design of an ETL process for populating the data marts from the data source. The development of multiple data marts will enable easier report generation by identifying common dimension amongst the data marts. The cross-join capabilities of the data marts through common dimensions, demonstrate the ability to easily drill across the data marts for cross data analysis and reporting. In addition, we also have incorporate data quality checking on the data source as well as data detection rules to filter out unmatched data schema and data range from being stored in the data warehouse for analysis.

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