MIDACOST02-BP04 Implement manufacturing-specific data retention policies
Implement cost-effective industrial data management that balances retention requirements for production data, quality records, and compliance needs with optimized storage costs. This includes implementing tiered storage strategies and automated archival processes.
Desired outcome: Cost-effective industrial data management that balances retention requirements for production data, quality records, and compliance needs with optimized storage costs.
Common anti-patterns:
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Applying generic IT data retention policies to manufacturing data
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Failing to differentiate between operational data and long-term quality records
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Overlooking industry-specific regulations (for example, FDA, ISO) in retention policies
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Storing manufacturing data indefinitely without a defined purpose
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Not considering data dependencies in retention schedules (for example, keeping raw data but deleting related metadata)
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Implementing retention policies without input from production and quality teams
Benefits of establishing this best practice:
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Alignment with regulatory requirements
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Optimized storage costs
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Clear data lifecycle management
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Reduced risk of compliance violations
Level of risk exposed if this best practice is not established: Medium
Implementation guidance
Implement comprehensive data retention policies that store manufacturing data only as long as necessary for operational, regulatory, and business purposes while optimizing storage costs.
Implementation steps
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Document regulatory requirements.
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Define data classification schemes.
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Create retention schedules.
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Implement automated archival processes.
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Set up compliance monitoring.
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Regular policy review and updates.
Key AWS services
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Amazon S3 Lifecycle policies
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Amazon Glacier
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AWS Backup
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AWS Storage Gateway
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Amazon Macie
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AWS CloudTrail
Resources
Related documents:
