What is AI Migration Bridge

AI Migration Bridge is a smart migration approach that enables you to modernize legacy data and reporting environments more quickly. The solution helps organizations migrate data from outdated systems, such as SAP BW and other legacy environments, in a controlled manner to modern data platforms like Microsoft Fabric or Databricks.

It’s not just about moving data. AI Migration Bridge also helps you transfer existing structures, logic, and reports more efficiently, reducing the need for manual work, lowering risks, and getting you ready faster for the next step in data, analytics, and AI.

This allows you to lay a future-proof data foundation that not only helps you move away from legacy systems but also creates room for innovation.

The benefits:

• Faster migration with less manual work. By intelligently leveraging AI during the migration, repetitive and time-consuming parts of the process are accelerated. This shortens the turnaround time and brings modernization within reach more quickly.
• Reduced risk through greater control over quality, continuity, and governance. Migrating from legacy systems often involves uncertainty. AI Migration Bridge helps you transfer structure, logic, and data in a controlled manner, ensuring you maintain control over quality, continuity, and governance.
• A structured approach to a modern data platform. AI Migration Bridge offers a structured approach for transitioning to platforms such as Microsoft Fabric or Databricks. This prevents disjointed migration steps and allows you to work toward a future-proof data environment in a focused manner.
• Foundation for AI and further growth. A successful migration is more than just a technical transition. It lays the foundation for scalable data solutions, faster decision-making, and the practical application of AI in day-to-day operations.
  
  

How we approach your migration at Macaw

"A successful migration requires more than just technology. That’s why, within AI Migration Bridge, we combine smart automation with a structured approach. This ensures that legacy data, logic, and reports are transferred in a controlled manner to a modern data platform, with a focus on quality, continuity, and the future use of AI."

Assessing the Current Situation

We start with an assessment of your existing data and reporting environment. We examine the current architecture, dependencies, data models, and reports to determine what needs to be migrated and which approach is best suited for the task.

Defining the migration path

Based on the analysis, we design a clear migration strategy. We determine the best way to transfer data, logic, and reports to a modern platform such as Microsoft Fabric or Databricks.

We accelerate the migration with AI

Next, we use AI to execute parts of the migration more intelligently and quickly. This includes analyzing, translating, and reconstructing existing objects and structures. In this way, we minimize manual work and accelerate the transition.

We validate and optimize

A migration is only successful if the new environment actually works as intended. That’s why we carefully validate data, logic, and output and optimize where necessary, so you can trust the quality of the final result.

We lay the foundation for the next step

After the migration, you’ll not only have a new technical environment but also a stronger foundation for analytics, governance, and AI. This allows you to turn a necessary migration into a strategic step forward.

For which organizations is AI Migration Bridge relevant?

AI Migration Bridge is of interest to organizations that:

• work with SAP BW or other legacy data environments
• want to modernize their data foundation
• want to migrate to Microsoft Fabric or Databricks
• want to further scale up their AI and analytics
• want to maintain control over quality, governance, and continuity
• want to make migration a strategic step forward
  
  

Why migrate now?

For many organizations, modernizing legacy data environments is no longer a choice but a necessary step forward. Outdated systems hinder innovation, make data less accessible, and increasingly pose an obstacle to analytics and AI. One example is SAP BW, for which support ends in 2027.

By starting the migration now, you can prevent technical lag from escalating into a greater risk or a more complex transition. At the same time, you’ll lay the groundwork for a modern data foundation that allows you to innovate faster, manage more effectively, and make AI truly actionable.