Data Migration
Data Cleansing
The process of detecting and correcting corrupt, inaccurate, or incomplete data before migration or use.
Complete Definition
Data Cleansing (also called data scrubbing or data cleaning) is the process of identifying and correcting errors, inconsistencies, and inaccuracies in data. This includes standardizing formats, removing duplicates, filling missing values, and validating data against business rules. Data cleansing is a critical step before CRM migration to ensure high data quality in the new system.
Key Points
- 1Corrects errors before they enter new system
- 2Includes standardization and formatting
- 3May involve business decisions about incomplete data
- 4Best done before migration, not after
Related Terms
Data Quality
The measure of data accuracy, completeness, consistency, and reliability for its intended use.
Data Migration
The process of transferring data from one system to another, typically during a software upgrade or system replacement.
Data Validation
The process of ensuring data meets specified criteria, formats, and business rules before or during entry.
Duplicate Detection
The process of identifying and merging duplicate records to maintain a single source of truth.
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