Data Structures and Algorithms


Analysis of Relative Importance of Data Quality Dimensions for Distributed Systems

Authors: Gopalkrishna Joshi, Narasimha H Ayachit, Kamakshi Prasad

The Increasing complexity of the processes and their distributed nature in enterprises is resulting in generation of data that is both huge and complex. And data quality is playing an important role as decision making in enterprises is dependent on the data. This data quality is a multidimensional concept. However, there does not exist a commonly accepted set of the dimensions and analysis of data quality in the literature by the concerned. Further, all the dimensions available in literature may not be of relevance in a particular context of information system and not all of these dimensions may enjoy the same importance in a context. Practitioners in the field choose dimensions of data quality based on intuitive understanding, industrial experience or literature review. There does not exist a rigorously defined mechanism of choosing appropriate dimensions for an information system under consideration in a particular context. In this paper, the authors propose a novel method of choosing appropriate dimensions of data quality for an information system bringing in the perspective of data consumer. This method is based on Analytic Hierarchic Process (AHP) popularly used in multi-criterion decision making and the demonstration of the same is done in the context of distributed information systems

Comments: 13 Pages.

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[v1] 2014-05-06 23:37:04

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