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SmartBug Media
JUNE 2, 2021
Quite simply, the goal of data cleaning is to remove data that is incorrect in an effort to prepare data for analysis or an integration. This could mean removing incomplete data, data that is not formatted correctly, or data that is duplicated. 5 Things to Remember When Data Cleaning.
Biznology
JANUARY 30, 2015
Business-to-business marketers are plagued by data problems. Business data is complex and fast-changing. Customers interact with us through a variety of channels, and often provide us with conflicting information. How do I match and de-duplicate customer records effectively? It’s a never-ending battle.
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Biznology
MARCH 6, 2015
Business-to-business data continues to challenge marketers, who need to identify and communicate with customers and prospects, but who run into thorny issues every day. Problems range from duplicates, to key-entry errors, to missing data elements, and beyond. There are two ways to de-anonymize the website visit.
Zoominfo
APRIL 27, 2022
How to remain within data privacy regulations: Disorderly databases are the most likely candidates to house insecure data. There are several data hygiene practices you can implement to combat insecure data. Inconsistent Data Inconsistent or non-standardized data looks different, but represents the same thing.
Heinz Marketing
AUGUST 5, 2021
Deliver relevant experiences with website personalization to increase engagement and interaction. Measure the impact and ROI of every interaction across Sales and Marketing with attribution. Connect to third-party systems to trigger sales plays, orchestrate actions in MAS and extend your outreach.
Expert insights. Personalized for you.
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