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You probably already know that you
have data quality issues, and efficiently reaching every customer and qualified
prospect is critical.
So, your challenge is looking for, identifying, and correcting bad data.
To meet that challenge, you need quick insight into the types of bad contact
data in your systems, like invalid street addresses, phone numbers and email
addresses, which often result in lost marketing and sales opportunities, waste
associated with undeliverable mail, and costly return shipping fees.
Those data quality issues and the need to integrate increasingly complex
enterprise data requires that you select a solution that offers a single,
comprehensive view of your critical information assets.
We interview Greg Brown to gain
Melissa Data's perspective on Data Quality.