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Migration Approach

Why Our Approach Matters​

Traditional migrations often rely on rigid, table-to-table ETL processes that fail to maintain business logic and introduce unnecessary risk. Hopp changes this by:

  • Separating Source and Target Systems Using distinct maps for source and target, connected by a lean interface for clarity and reuse.

  • Focusing on Business Objects We migrate logical units—such as Customers, Accounts, or Products—rather than isolated tables, ensuring integrity and traceability.

  • Agile, Incremental Delivery Our process is iterative, enabling early validation, stakeholder involvement, and continuous improvement.

Core Principles​

Our methodology is built on the Practical Data Migration framework and four golden rules:

  1. Data Migration is a business issue, not just a technical one.
  2. The business knows best—it owns and understands the data.
  3. Perfect data quality is unrealistic—focus on what matters most.
  4. If you can’t count it, it doesn’t count—issues must be measurable to be resolved.

Three Phases of Migration​

  1. Preparation Define scope, responsibilities, and governance. Create a Data Migration Strategy and sign-off requirements.
  2. Delivery Map, transform, validate, and migrate data using Hopp Studio, Core, and Portal for full control and transparency.
  3. Sign-Off & Go-Live Validate migrated data against agreed criteria, manage issues, and execute fallback plans if needed.

Tools That Power Our Methodology​

  • Hopp Studio – Logical mapping and specification
  • Hopp Core – Automated code generation and execution
  • Hopp Portal – Monitoring, reporting, and issue management [hopp.tech]

Benefits of the Hopp Approach​

  • Reduced Risk through structured governance and agile iteration
  • Improved Quality with real-time validation and issue tracking
  • Faster Delivery thanks to automation and reusable components LinkedIn