A Descriptive Classification of Causes of Data Quality Problems in Data Warehousing

摘要: Data warehousing is gaining in eminence as organizations become awake of the benefits decision oriented and business intelligence data bases. However, there one key stumbling block to rapid development implementation quality warehouses, specifically that warehouse issues at various stages warehousing. Specifically, problems arise populating a with data. Over period time many researchers have contributed issues, but no research has collectively gathered all causes phases Viz. 1) sources, 2) integration & profiling, 3) staging ETL, 4) modeling schema design. The state-of-the-art purpose paper identify reasons for deficiencies, non-availability or reach ability aforementioned formulate descriptive classification these causes. We identified possible set from extensive literature review consultation practitioners working renowned IT giants on India. hope this will help developers Implementers examine analyze before moving ahead solutions applications.