Companies are investing significant sums of money and time into building a data quality strategy. Driving this is the need to leverage their existing data assets to find new competitive opportunities. Without accurate data, they run the risk of wasting money, missing opportunities and alienating potential business. Before any company can create a reliable data quality process, they need to consider investment in data quality tools and reference data as part of a broader data quality strategy. These help to ensure that any data entered and held by the company is accurate, reliable and most importantly fit for purpose.
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