Source Inventory
List each data source with system name, table or file path, owner contact, access credentials method, and expected record volumes for planning and access control.
A formal Data Management Data Extraction ensures consistent outputs, reduces manual remediation, and creates an audit trail for compliance reviews. It clarifies responsibilities, reduces rework, and documents chain of custody for sensitive data processing.
Teams responsible for data migration, system integration, compliance, and analytics create and consume the extraction document to coordinate work and confirm requirements.
The document reduces ambiguity across technical and nontechnical stakeholders and supports later verification, testing, and audit activities.
Oversees end-to-end extraction projects, approves field mappings and validation rules, and coordinates testing. The manager ensures resources, assigns owners for source datasets, and signs off on final delivery after quality and compliance checks.
Reviews extraction rules for sensitive data handling, confirms necessary redaction or pseudonymization, and verifies retention schedules meet HIPAA, IRS, or other regulatory requirements. The officer documents approvals and retains records for audit.
List each data source with system name, table or file path, owner contact, access credentials method, and expected record volumes for planning and access control.
Define source field, target field, data type, transformation logic, default values, and handling for nulls or malformed records to avoid ambiguity during ETL.
Specify row- and field-level checks, sample sizes, acceptance thresholds, and reconciliation steps used during test and production runs to verify extraction completeness.
Document encryption in transit and at rest, access restrictions, and any data masking or redaction rules required by HIPAA, FERPA, or other privacy obligations.
State output formats, file naming conventions, storage destinations, retention policy, notification recipients, and transfer schedules for downstream consumers.
Record who ran extraction, timestamps, job IDs, error logs, and version history so changes and incidents are traceable for audits and troubleshooting.
| Field | Configuration |
|---|---|
| Authentication | SSO/SAML or API key with least-privilege roles |
| Field Recognition | OCR plus schema-based parsers; enable confidence scoring |
| Error Handling | Retry policy, dead-letter queue, and alert rules |
| Output Format | CSV, JSON, or database load with schema mapping |
Confirm the platform supports your required connectors, file formats, and authentication modes before implementing automated extraction.
Ensure the chosen tool aligns with internal IT policies and has audit logging, role-based access, and the ability to export signed records for compliance purposes.
1–2 weeks for moderate complexity sources
2–4 weeks depending on field count and transformations
Allow 3–5 business days per round of validation
Scheduled after sign-off with rollback plan
Retention begins on extraction completion date
Project intake, scope confirmation, and owner assignment.
All field mappings and transformations documented and reviewed.
Extraction meets acceptance criteria and sampling thresholds.
Scheduled run into production with monitoring enabled.
| signNow | DocuSign | Adobe Sign | PandaDoc | HelloSign | |
|---|---|---|---|---|---|
| Starting Price | $8/user/mo | $15/user/mo | $14/user/mo | $19/user/mo | $15/user/mo |
| Free Trial | 7-day trial | Varies by vendor | Varies by vendor | Varies by vendor | Varies by vendor |
| Bulk Send | Yes (Business Premium) | Varies by plan | Varies by plan | Varies by plan | Varies by plan |
| Audit Trail | Yes | Yes | Yes | Yes | Yes |
| HIPAA Compliant | Yes | Yes | Yes | No | No |
Optica documented source mappings and validation rules before migration to ensure consistency
A regional real estate firm standardized address and deed-field extraction to reduce closing delays