In recent years, corporate scandals, regulatory changes, and the collapse of major financial institutions have brought much warranted attention to the quality of enterprise information. If we understand the underlying sources of quality issues, then we can develop a plan of action to address the problem that is both proactive and strategic. The relationship between data quality and data consistency is investigated in this research paper. Poor data quality is costly as it adds expenses and lowers user satisfaction so Data Profiling could be enforced. It was observed that quality of data in a data warehouse is affected by factors like: data not fully captured, lack of planning, data aging.

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Aging Data Consistency Data Profiling Data Quality Data Warehouse.