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Data Migration & Modernization

Seamless Transition to Modern Systems

AMFAIHAR specialises in large-scale, low-risk data migrations from legacy and on-premise systems into SAP, cloud platforms, or modern data warehouses.

Data Migration Excellence

Moving to modern systems is critical but risky. Our teams run structured, low-risk migrations with strong focus on data quality, reconciliation, and business continuity.

Data Migration & Modernization

Data Migration Platforms

Data Migration on Your Tools of Choice

Use the platforms you already trust—SAP BODS, Ab Initio, Apache NiFi, Azure Data Factory, IBM DataStage, or Informatica—under one migration programme with shared architecture, governance, and timelines.

Data Migration Platform

SAP BODS

SAP-centric data migration factory for ECC and S/4HANA programmes, aligned with SAP transports and change management.

  • Native extractors and ABAP-based flows for SAP sources.
  • Reusable jobs for master and transactional data loads.
  • Tight integration with SAP landscapes and security models.

What We Deliver

End-to-End Data Migration Solutions

Legacy System Modernization

Transition from legacy ERP, mainframe, or custom-built systems to cloud-ready platforms while preserving history and auditability.

Cloud Data Platform Migration

Move on-prem and multi-source data to AWS, Azure, or GCP with security, governance, and compliance baked into the design.

Data Warehouse & Lake Migration

Migrate to Snowflake, BigQuery, Redshift, or lakehouse architectures so analytics and AI teams work from a single, trusted store.

M&A Data Integration & Carve-Out

Consolidate, carve-out, and restructure data during mergers, acquisitions, or divestitures with clear lineage and controls.

Data Cleansing & Enrichment

Assess, cleanse, standardise, and enrich data before it lands in the target platform, improving downstream analytics and AI.

Multi-Cloud & Hybrid Migration

Deliver complex migrations across multi-cloud and hybrid landscapes with unified governance and consistent quality checks.

Migration Approach

From Data Discovery to Stable Go-Live

A structured, low-risk framework that takes you from discovery to a stable, decommissioned legacy landscape.

  1. 1

    Data Readiness Assessment

    Understand source systems, data models, and quality issues. Identify gaps early and define realistic scope.

  2. 2

    Strategic Planning & Roadmap

    Agree migration strategy, phasing, cutover options, and risk mitigation aligned with business milestones.

  3. 3

    Data Mapping & Design

    Design mappings, transformation rules, and target models for master and transactional data.

  4. 4

    ETL/ELT Development & Automation

    Build repeatable migration jobs with in-line validation, reconciliation, and automated reruns.

  5. 5

    Testing & Validation

    Dress rehearsals, trial loads, and business sign-off using reconciliation reports and dashboards.

  6. 6

    Production Cutover & Support

    Controlled go-lives with rollback plans, hyper-care support, and post-migration tuning.

Business Outcomes

Data Migration That Delivers Measurable Value

Reduced Run Costs

Decommission legacy platforms, remove duplicate systems, and automate data handling to cut operating spend.

Faster Integration Cycles

Reusable mappings and templates accelerate rollouts, M&A integrations, and new-country launches.

Full Transparency & Compliance

Lineage, rule execution logs, and reconciliation reporting support strict regulatory and audit requirements.

Stronger Supply Chain & Operations

Clean materials, inventory, and customer data improve planning, availability, and service levels across the network.

Predictable Go-Live Execution

Structured playbooks and simulation runs make cutovers boring – low-risk and delivered on agreed timelines.

Future-Ready Data Estate

High-quality data and standardised models make future analytics, AI, and integrations faster and cheaper.

Why AMSYS

The right tool, every requirement, all in one program

Best of Both Worlds

We work across SAP BODS, Ab Initio, Apache NiFi, Azure Data Factory, IBM DataStage, and Informatica, choosing the right mix for each programme.

Implementation Discipline

Playbooks refined in global rollouts – from discovery and design to parallel runs, go-live, and decommissioning.

Continuous Quality & Compliance

Scorecards, dashboards, and reconciliation steps embedded in every phase, not just at cutover.

Value-First, Tool-Agnostic

We start with business outcomes and existing investments, then design a path that delivers ROI quickly.

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Ready to get started?

Ready to drive business value at scale with data you can trust?

Power the business
Elevate your data quality
Accelerate business value
Execute with confidence