ERP Data Migration Checklist
Ensure a smooth and accurate ERP data transition. Our ERP Data Migration Checklist guides you through data cleansing, mapping, validation, and testing, minimizing risks and maximizing the success of your new ERP system. Download now and migrate with confidence!
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Planning & Scope Definition
Initial assessment, data scope, and migration strategy definition.
Project Objectives for Data Migration
Estimated Number of Records to Migrate
Data Migration Approach (Big Bang vs. Phased)
Target Data Migration Start Date
Target Data Migration Completion Date
Source Systems to be Migrated
Data Security & Compliance Requirements
Data Profiling & Cleansing
Analyzing source data quality, identifying inconsistencies, and establishing cleansing rules.
Describe the overall data quality assessment methodology.
Total records in source system (approximate).
Percentage of records flagged for potential cleansing.
Identify and describe the top 3 data quality issues encountered.
Select data fields requiring cleansing.
Describe the cleansing rules applied to each selected field.
Upload sample data file for review and validation.
Data Mapping & Transformation
Defining mappings between source and target data fields, and outlining transformation logic.
Source Field Name
Target Field Name
Data Transformation Logic
Data Length/Precision
Data Type Conversion Required?
Transformation Functions Applied (Select all that apply)
Transformation Logic Last Updated
ETL Development & Testing
Building and testing the Extract, Transform, Load (ETL) processes.
Describe ETL Process Logic
Estimated Record Count (Source)
Estimated Record Count (Target)
ETL Development Start Date
ETL Testing Start Date
Number of Failed Records (Initial Test)
Data Transformation Rules Applied
ETL Script/Code Repository Link
Data Validation & Reconciliation
Verifying data accuracy and completeness after migration.
Total Records Migrated
Records with Errors
Records Reconciled Successfully
Summary of Reconciliation Findings
Data Accuracy Validation Status
Completeness Validation Status
Validation Completion Date
Specific Error Details (if applicable)
User Acceptance Testing (UAT)
Business users validate data and processes within the new ERP system.
Data Accuracy Verification: Master Data (Customers, Vendors)
Data Accuracy Verification: Transactional Data (Orders, Invoices)
Describe any data discrepancies found.
Number of records verified in [Specific Module].
Process Functionality: Order Processing Workflow
Date of UAT Execution
UAT Tester Signature
Cutover Planning & Execution
Preparing for and executing the data migration cutover to the live ERP environment.
Planned Cutover Start Date
Planned Cutover Start Time
Estimated Downtime (hours)
Detailed Cutover Plan Description
Cutover Checklist Document
Cutover Lead
Communication Channels for Cutover Updates
Post-Migration Monitoring & Support
Ongoing monitoring and issue resolution after the data migration is complete.
Last Data Verification Date
Number of Data Errors Identified Post-Migration
Description of Data Errors Found
Data Quality Overall Assessment
Date of Next Scheduled Data Audit
Summary of User Feedback Regarding Data Accuracy
Data Migration Issue Resolution Status
War diese Checklisten-Vorlage hilfreich?
Demonstration der ERP-Lösung (Unternehmensressourcenplanung)
Sind Sie überfordert von unverbundenen Systemen? ChecklistGuro bietet eine zentrale ERP-Lösung, die Ihre Geschäftsprozesse - Finanzen, Betrieb und mehr - miteinander verbindet, um die Transparenz und Kontrolle zu verbessern. Vereinfachen Sie Abläufe und steigern Sie die Effizienz.
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