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Data & Intelligence

Data Migration Technology

Move data with mapping, testing and reconciliation built in.

A migration should account for incomplete records, duplicates, legacy formats and the need to verify results before switching systems.

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Data Migration Technology technical architecture illustration
Data Migration Technology connected systems illustration
WHAT IT IS & WHAT IT DOES

Technology that solves real operational challenges

A migration should account for incomplete records, duplicates, legacy formats and the need to verify results before switching systems. Profile legacy data, map fields, cleanse records and rehearse migration before go-live.

Controlled transition of critical data

Profile legacy data, map fields, cleanse records and rehearse migration before go-live.

Fewer migration surprises

Verify totals, referential integrity, duplicates, exceptions and rollback readiness.

BUSINESS VALUE

How it helps your organisation

Technology decisions should improve day-to-day work, strengthen data reliability and support measurable business outcomes.

Data profiling

Identify missing fields, duplicates and legacy inconsistencies

Mapping and transformation

Define how old structures convert into target records

Trial migrations

Rehearse imports, measure duration and resolve exceptions

Reconciliation

Compare counts, balances and relationships before acceptance

REFERENCE ARCHITECTURE

How the components connect

A simplified reference flow, adapted to the actual project requirements:

Legacy records
Extract/cleanse/map
Trial import & validation
Target application

Illustrative architecture, not a claim of an existing deployed installation.

Data Migration Technology visual reference
RECOGNISED TECHNOLOGIES

Established tools, standards and approaches

Depending on business requirements, solutions may be designed using relevant industry technologies and architectural patterns:

SQLPythonApache AirflowTalendPentahoETL/ELTchecksum reconciliation

These are recognised industry technologies and architectural approaches that may be evaluated for a project; their mention does not imply Core1 Solutions has deployed, certified, partnered with, or currently supports every named technology.

INDUSTRY APPLICATIONS

Practical use cases across industries

Different sectors apply the same technical foundations to different operational challenges.

Retail

migrate customers and orders into a new ERP

Education

consolidate records from multiple campuses

Manufacturing

transfer inventory and supplier histories

Data Migration Technology industry use case illustration
Data Migration Technology implementation illustration
IMPLEMENTATION APPROACH

From discovery to dependable delivery

01 · Assess

Review users, processes, existing systems, constraints and priorities.

02 · Design

Migration mapping, cleansing rules, trial-run plan and reconciliation checklist.

03 · Validate

Test security, data integrity, performance and real-world workflows.

04 · Improve

Document ownership, support needs and continuous improvements.

COMMON QUESTIONS

Frequently asked questions

Can all historical records be migrated?

Possibly, but retention needs, data quality and target-system constraints must be assessed.

How do we confirm accuracy?

Use record counts, financial totals, samples and exception reports.

What is a safe cutover?

A rehearsed sequence with backups, acceptance checks, ownership and rollback criteria.

CONNECTED CORE1 SOLUTIONS OFFERINGS

Explore related products and services

See how this capability can complement Core1ERP, business applications and professional services.

LET'S DISCUSS YOUR PROJECT

Plan your data migration technology initiative

Tell Core1 Solutions about your environment, requirements and business goals.

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