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7 Common Types of Dirty Data and How to Clean Them

Zoominfo

Dirty data represents faulty bits of information that can present problems in a business’s database. Just like duplicate records exist in various places within your database, multiple versions of the same data elements can exist across different records in your system. How do duplicates happen? Time to get messy.

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Sales Intelligence: What to Expect When You’re Prospecting

Zoominfo

Uniqueness : Are there duplicate records? Consistency : Is the data presented in a way that is the same as similar records? Look for tools that automatically sync, append, enrich, and de-dupe your data as new information becomes available and your database grows. Can records be combined? Timeliness : Is the data fresh?

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Sales Intelligence: What to Expect When You’re Prospecting

DiscoverOrg

Uniqueness : Are there duplicate records? Consistency : Is the data presented in a way that is the same as similar records? Look for tools that automatically sync, append, enrich, and de-dupe your data as new information becomes available and your database grows. Can records be combined? Timeliness : Is the data fresh?

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Lead Optimization: 10 audience questions answered

markempa

Tweet A couple of weeks ago, I presented the webinar, “ Optimizing the Lead: A data-driven optimization process that goes beyond lead capture.” What does it mean to “enrich data” and “merge/de-dupe”? ” How do you make a cold call that’s memorable in the first 30 seconds? Relevancy is everything.