The hallmark of data quality is how well data supports the context in which it’s consumed. Your legal department, for example, may use “Informatica Company” while your finance department uses “INFA,” and both records are of equal quality.
Quality is a relative and never-ending judgment, one that needs to be defined by the business (or business unit) that’s consuming the data. An essential element of holistic data governance, trustworthy data serves critical business needs across the enterprise—from legal to finance to marketing and beyond.
Driving data quality requires a repeatable process that includes:
Confidently connect with your customers using verified and enriched address, email, and phone contact data.
Deliver clean, trusted data so all your projects meet your business objectives, regardless of the size, format, or platform of your data.
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