Create scripts for data extraction and transformation
8
Test the extraction and transformation processes
9
Evaluate and clean the source data
10
Approval: Source data evaluation results
11
Execute the data migration to the new ERP system
12
Perform post-migration testing to verify the accuracy of all data elements
13
Approval: Post-migration testing results
14
Training for users on how to manage and operate the new ERP data
15
Create a rollback strategy in case of failures
Define data migration strategy
This task involves determining the approach for moving data from the current system to the new ERP system. Consider the scope of the migration, whether it will be a full or partial migration. Assess the risks involved and plan mitigation strategies. Identify the key objectives and desired outcomes. Define the timeline for the migration process.
1
Full migration
2
Partial migration
1
Data loss
2
Data corruption
3
Delays
4
System downtime
Identify appropriate data migration tools
In this task, we will evaluate and select the best data migration tools based on the requirements and constraints of the project. Consider factors like data compatibility, performance, ease of use, and cost. Research and compare different tools to make an informed decision.
1
Tool A
2
Tool B
3
Tool C
4
Tool D
5
Tool E
In-depth evaluation of data sources
This task involves examining the data sources in detail to understand their structure, format, and quality. Identify any potential data issues such as duplicates, missing values, or inconsistencies. Assess the reliability and accuracy of the data sources to plan for data cleansing and transformation activities.
1
Duplicates
2
Missing values
3
Inconsistencies
4
Data format issues
Create a detailed data migration project plan
This task involves creating a comprehensive project plan for the data migration process. Outline the different phases, activities, and milestones of the migration. Determine the roles and responsibilities of the team members involved. Define the required resources and estimate the timelines for each task.
Design the data mapping
In this task, we will design the mapping between the source data fields and the corresponding fields in the new ERP system. Define the mapping rules, transformations, and data conversion requirements. Consider any data dependencies or relationships that need to be maintained during the migration.
1
One-to-One mapping
2
Many-to-One mapping
3
One-to-Many mapping
Approval: Data mapping design
Will be submitted for approval:
Design the data mapping
Will be submitted
Create scripts for data extraction and transformation
This task involves writing scripts or queries to extract the data from the source system and transform it according to the defined mapping rules. Consider the data formats, cleansing requirements, and any data validation rules. Ensure the scripts are scalable, efficient, and capable of handling large data volumes.
Test the extraction and transformation processes
In this task, we will validate the extraction and transformation scripts to ensure they are functioning as intended. Execute the scripts on sample data sets and compare the results with the expected outcomes. Assess the data quality, accuracy, and integrity after the transformation process.
1
Successful
2
Partial success
3
Failed
Evaluate and clean the source data
This task involves assessing the quality and reliability of the source data. Identify and resolve any data issues such as duplicates, missing values, or inconsistencies. Perform data cleansing activities like standardization, normalization, and deduplication to improve data quality.
1
Duplicates
2
Missing values
3
Inconsistencies
4
Data format issues
Approval: Source data evaluation results
Will be submitted for approval:
Evaluate and clean the source data
Will be submitted
Execute the data migration to the new ERP system
In this task, we will execute the migration process to transfer the data from the source system to the new ERP system. Ensure all dependencies and pre-requisites are met before initiating the migration. Monitor the migration progress and validate the data integrity in the new system.
1
Full migration
2
Partial migration
Perform post-migration testing to verify the accuracy of all data elements
After the data migration process, it is essential to validate the accuracy and completeness of the migrated data. Compare the data in the new ERP system with the original source data to ensure consistency. Identify any discrepancies and take necessary corrective actions.
1
Successful
2
Partial success
3
Failed
Approval: Post-migration testing results
Will be submitted for approval:
Perform post-migration testing to verify the accuracy of all data elements
Will be submitted
Training for users on how to manage and operate the new ERP data
This task involves providing training sessions to the users on how to effectively manage and operate the data in the new ERP system. Explain the key functionalities, data entry processes, and data retrieval methods. Address any user queries or concerns to ensure smooth adoption of the new system.
Create a rollback strategy in case of failures
It is crucial to have a contingency plan in case the data migration process encounters failures or errors. Design a rollback strategy that outlines the steps to revert back to the original system and recover the data. Consider the impact and risks associated with the rollback process.
