REVOLUTION IN DW BY SOLVING CAUSES OF DATA QUALITY PROBLEMS IN DW AND ETL?

Data warehousing is gaining in eminence as organizations become awake of the benefits of decision oriented and business intelligence oriented data bases. Informed decision-making is required for competitive success in the new global marketplace, which is fraught with uncertainty and rapid technology changes. Decision makers must adjust operational processes, corporate strategies, and business models at lightning speed and must be able to leverage business intelligence instantly and take immediate action. Over the period of time many researchers have contributed to the data quality issues, but no research has collectively gathered all the causes of data quality problems at all the phases of data warehousing Viz. 1) data sources, 2) data integration & data profiling, 3) Data staging and ETL, 4) data warehouse modelling & schema design.