Automated Data Warehouse Information Validation Solutions
Ensuring the Accuracy of the Information That You Need to Make Critical Business Decisions
 Data warehouses are now entrenched as irreplaceable tools for making critical business decisions. Therefore, the quality of information within the data warehouses is vital – as bad information will lead to the wrong business decisions. In fact, InformationWeek reports that "data warehouses are the critical underpinning of business intelligence projects, and Companies have big plans for business intelligence." However, according to Darwinmag.com, "your decisions will only be as good as the data they're based on."
To meet internal demands, many companies have spent millions of dollars to build data warehouses. These warehouses vary in complexity. They may be as simple as taking information from several sources and consolidating it into a single repository. They may also aggregate and normalize information from numerous sources, and then consolidate it into the warehouse. Complex warehouses may be comprised of derived information that is compiled from numerous sources, aggregated, transformed, and then input to the warehouse.
In any case, there is extensive movement of information between source systems, the warehouse, and the associated "data marts" of each warehouse. All of this movement results in extensive information risk. The Data Warehousing Institute estimates that companies lose more than $600 billion every year thanks to poor data. This includes internal administrative time, lost customers, and directly lost revenue.
For these reasons and more, information risk is the biggest enemy to any data warehouse. If internal users do not trust information within the data warehouse, they will avoid it, which leads to added waste.
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