What are some common CRM data cleaning mistakes?
Some common mistakes include not standardizing data formats, neglecting duplicate entries, and failing to validate data accuracy.
How can I avoid these mistakes?
To avoid these mistakes, implement data validation rules, regularly audit your data, and use automated tools for deduplication.
What tools can help with CRM data cleaning?
Tools like Data Ladder, Talend, and Informatica can help streamline the data cleaning process in your CRM.
Is there a checklist for CRM data cleaning?
Yes, a checklist can include steps like identifying duplicates, standardizing formats, and validating data against reliable sources.
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