3.13 Prepare Data for Mock Conversions (Data Cleansing, Data Mapping)
Objective
Jointly develop a Data Conversion Plan with input from the data cleansing process, and execute against plan to address potential data conversion issues.
View Best PracticesTask Activities
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Shared
Develop integrated data governance approach to include process, roles, responsibilities, and cleansing and mapping criteria
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Provider
Review customer data architecture
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Provider
Discuss standard data management approach with customer
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Shared
Finalize an integrated approach and plan for data cleansing, mapping, extract/transfer/load, mock conversion, conversion, and data validation
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Shared
Assess data quality based on Data Cleansing Plan activities from previous phase against defined criteria
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Shared
Initiate legacy-to-target data mapping
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Shared
Identify data errors/anomalies and prioritize resolution activities
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Shared
Develop and execute Data Cleansing Scripts and perform manual correction, updating as needed
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Customer
Validate results of data cleansing and readiness for conversion based on data quality criteria and metrics
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Shared
Report updates in governance meetings and Status Reports/Dashboards
3.13 Best Practices
- Begin data cleansing activities prior to migration activities and continuously throughout the implementation to assist with data readiness
- Agree on data governance including metadata management and data quality management
- Incorporate additional post Go-Live data cleansing and quality activities into the Data Conversion Plan strategy, schedule, and resource planning
- Investigate provider service offerings around post Go-Live conversion support prior to finalizing cleansing metrics
- Develop procedures, tools, and protocols to extract data and define system structure, major components, and type of conversion effort. Define system hardware and software conversion steps, identify necessary data and preparation requirements, and establish data quality assurance controls for conversion. Identify and address affected interfaces and security issues related to conversion efforts
Stakeholders
Customer
- Program Manager
- Business Owner
- Functional Lead
- Technical Lead/Solution Architect
- Data Conversion Lead
- Data SME
Provider
- Program Manager
- Business Owner
- Functional Lead
- Technical Lead/Solution Architect
- Data Conversion Lead
- Data SME
Inputs
- Data Elements
- Data Cleansing Plan
- Data Quality Assessment Results
- Existing System Data Dictionaries
- Existing Data Governance Model
- Data Cleansing Results
- Existing Data Quality Assessment
Outputs
- Data Cleansing Scripts
- Documented Data Structure and Mapping
- Data Conversion Plan
- Status Reports/Dashboards