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Examining Data Cleansing Software Tools for Engineering Asset Management
Abstract
To be more cost effective and efficient, organisations are relying on improved operations and maintenance strategies for their engineering assets. Even after having done huge investment in operations and maintenance systems, they are not able to reap proportional benefits. It is mainly attributed to the quality of data present in these systems and lack of integration between diverse systems used in the organisations. The paper presents uniqueness of data encountered in engineering asset management (EAM) setup and the quality problems in such data. It reviews the suitability of commercially available data cleansing software tools for EAM environment, provides a comparative evaluation of features of tools and points to the areas that need improvement to effectively handle EAM data.
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