SERVICES

Data Migration Services

Seamlessly transferring critical government data with integrity, security, and compliance.

0 data loss across migrations

four-point reconciliation framework

NARA Retention Schedule compliant

Secure and Reliable Data Migration

Data migration can be one of the riskiest parts of modernization. We specialize in secure, compliant migrations that preserve accuracy, maintain integrity, and minimize downtime. Whether moving from on-premises systems, upgrading enterprise platforms, or shifting to cloud environments, our approach ensures your data gets there safely, and works as intended.

Proven methodologies for government sector deployments.

Minimal disruption with phased migration and rollback plans.

100% compliance readiness with encryption, validation, and audit trails.

End-to-end security with encryption and chain-of-custody controls.

Services Portfolio

Core Data Migration Services

Legacy Data Extraction

Securely extract data from outdated systems ensuring zero data loss or corruption.

Data Cleansing & Transformation

Improve data quality during the move via deduplication, validation, and normalization.

Application-Specific Migrations

Customized migrations for complex enterprise applications across diverse environments.

Database Migration

Expertise in Oracle, SQL Server, MySQL, PostgreSQL, MongoDB.

Hybrid & Cloud-to-Cloud Migration

Multi-cloud strategies across AWS, Azure, Oracle Cloud, GCP.

Testing, Validation & Support

End-to-end testing, post-migration monitoring, and staff enablement.

Engagement Model

How we deliver

Data migration is where government IT projects most commonly go wrong. Our approach is built around one principle: nothing moves forward until the previous step is verified, documented, and signed off.

01
phase 1
Data Discovery & Profiling

Inventory and profile all source data — structure, volume, quality, dependencies, and compliance sensitivity. Identify data that is incomplete, duplicated, or inconsistent before migration begins. Output is a data quality report and a migration risk assessment that determines sequencing and approach.

02
phase 2
Migration Strategy & Mapping

Define the migration approach — big bang or phased — based on data volume, system complexity, and agency risk tolerance. Map source data to target schema. Transformation rules documented and agreed upon with agency stakeholders before any data is moved.

03
phase 3
Extract, Transform & Load (ETL) Development

Build and test ETL pipelines to extract data from source systems, apply transformation rules, and load into the target environment. For legacy systems — mainframes, PeopleSoft, JD Edwards, Lawson — extraction is handled without impacting live operations.

04
Phase 4
Migration Rehearsal

Full migration executed in a non-production environment. Data validated against reconciliation reports — record counts, field-level accuracy, referential integrity, and business rule compliance. Issues identified and resolved before production migration is authorized.

05
Phase 5
Production Migration & Validation

Production migration executed to the agreed schedule. Post-migration validation confirms data integrity in the live environment. Reconciliation sign-off completed with agency stakeholders before legacy system access is restricted.

06
Phase 5
Legacy Decommission Support

Once production data is confirmed accurate, support legacy system decommission — archiving historical data to compliance requirements, documenting retention schedules, and coordinating final system retirement with agency IT and records management teams.

Compliance & Security

Compliance frameworks we work within

Government data carries legal, regulatory, and privacy obligations that don't disappear during migration. Every data movement we execute is governed by the compliance requirements attached to that data — from extraction through validation to final decommission.

FedRAMP Moderate & High

Data migrations to and within FedRAMP-authorized cloud platforms executed with encryption, access controls, and audit logging aligned to FedRAMP security requirements.

NIST SP 800-53 Rev. 5

Data migration processes governed by NIST 800-53 controls — access management, audit logging, data integrity, and system and communications protection maintained throughout.

StateRAMP

Data migrations for state agencies to StateRAMP-authorized platforms, with data residency and access control requirements maintained through every migration phase.

CJIS Security Policy

Migration of law enforcement and justice data handled by CJIS-cleared personnel, with access controls, encryption, and audit logging configured to CJIS Security Policy requirements.

HIPAA

Migration of protected health information with BAAs in place across all platforms. Encryption in transit and at rest, access controls, and audit logging maintained to HIPAA technical safeguard requirements throughout.

IRS Publication 1075

Migration of Federal Tax Information executed to Pub 1075 safeguard requirements — access restriction, encryption, audit logging, and incident response maintained from extraction through decommission.

FISMA

Data migration scoped and executed with FISMA system categorization in mind. Security controls maintained throughout migration to avoid gaps in the agency's compliance posture during transition.

SOC 2 Type II & ISO 27001

Internal control attestations for Consultadd's own data migration operations available on request under NDA.

FAQ

Frequently asked questions

Everything contracting officers, IT leaders, and prime capture teams routinely ask before engaging.

01
Do you handle both legacy-to-modern and cloud-to-cloud migrations?
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Yes. We migrate data from mainframes, PeopleSoft, JD Edwards, Lawson, and other legacy platforms to modern systems, as well as platform-to-platform migrations between cloud environments. The approach adapts to where you're starting from.

02
Can you handle data migration as a standalone engagement or only as part of a larger implementation?
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Both. We're frequently engaged as part of a broader ERP, CRM, or HRIS implementation. We're also brought in specifically for data migration when an agency has already selected a target platform and needs a specialist to handle the data workstream.

03
How do you ensure no data is lost during migration?
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Through a reconciliation-first approach — every migration phase includes record count validation, field-level accuracy checks, and referential integrity testing before proceeding. Nothing moves to production until rehearsal validation is complete and signed off.

04
What happens if data quality issues are discovered during migration?
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We identify data quality issues during the profiling phase — before any migration begins. Issues are documented, prioritized, and resolved in the source or transformation layer. Agencies are never surprised by data quality problems at go-live.

05
How do you handle sensitive or classified data during migration?
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Sensitive data — PII, FTI, PHI, law enforcement records — is handled with encryption in transit and at rest, access controls limited to cleared personnel, and full audit logging throughout the migration process. Compliance requirements are scoped in the strategy phase before any data is touched.

06
Do you archive historical data from legacy systems before decommissioning?
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included as a standard workstream — historical records retained to agency and regulatory requirements, documented for records management, and accessible for audit or legal hold purposes after the source system is retired.

07
How long does a data migration typically take?
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Highly variable by data volume, source system complexity, and data quality. A focused migration of a single system can take 8–12 weeks. A large-scale legacy migration involving multiple source systems can run 6–12 months. We scope precisely after the data discovery phase.

08
What if our legacy system documentation is incomplete or outdated?
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Common in government environments. Our discovery process is designed to profile data directly from the source system rather than relying on documentation. We reverse-engineer the data model where necessary.