Remove Data Hygiene Remove De-duplication Remove Lead Scoring Remove Validation
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Leveraging Integration Projects: How to Keep Your CRM Data Clean

SmartBug Media

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. Remove Duplicate Information.

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Did Somebody Ask About Data Quality?

DealSignal

The consultants ran through a series of standard CRM processes including lead management, dashboards, record customization by the site admin, and Outlook integration. Yet, at no point did I hear a discussion of data quality, data hygiene, contact verification, field standardization, or company and contact enrichment.

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6 thorny data problems that Vex B2B marketers, and how to solve them

Biznology

Consider enabling the data input group with a real-time interface with a database services provider to prompt the standard company name and address. How do I match and de-duplicate customer records effectively? Be careful not to build targeting or segmentation processes that are primarily dependent on appended data.