Fixing data quality issues is only part of the solution. In order for these not to reoccur, one needs to identify the root cause and prevent from further creating poor data quality. As we know, for every effect there is a cause, and that’s the
Data warehousing and business intelligence users assume, and need, trustworthy data.In the Gartner Group’s Online IT Glossary, data integrity and data integrity testing are defined as follows:Data Integrity: the quality of the data residing in data repositories and database objects. The measurement which users consider
Data is here to stay. In fact, your current data has already outlived or will most likely outlive its current systems and processes. What you need to be mindful of is that every time data goes through a data integration process, there are chances of