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The Data Migration Playbook for Tech & Business

AI & GenAI: Michał Dorociński

Many migration programs struggle because teams commit to timelines, budgets, and migration waves before they have enough evidence to move forward with confidence. 


Scope is often unclear. Dependencies surface late. Ownership gaps appear during delivery. What starts as a modernization initiative can quickly become an exercise in rework, delays, and risk management. 

That's why we created the Migration Factory Playbook. It helps you assess migration readiness, identify critical gaps, and turn assessment findings into a practical migration plan. 

 

 

Why migration readiness matters


A readiness assessment is not about achieving a perfect score. Its value comes from identifying the gaps most likely to affect cost, timelines, quality, and business continuity before migration begins. 

The playbook helps you move beyond a high-level readiness score and translate findings into clear actions, ownership, evidence requirements, and decision points.

 

 

Turn assessment findings into a migration roadmap

 

At the center of the playbook is our four-step Migration Factory framework: 

 

  1. Assess your environment, dependencies, and target architecture.

  2. Plan with verified evidence, clear ownership, and realistic sequencing.

  3. Execute using standardized processes, automation, and controlled exception management.

  4. Govern through validation, quality gates, and evidence-based decisions. 

 

The principle is simple: move work forward when the evidence is complete, not when a status report says it is. 

 

 

Focus on the gaps that matter most

 

The playbook encourages you to start with the lowest scoring assessment areas and address the risks most likely to affect delivery. 

 

You'll learn how to: 

 

  • Build complete asset inventories

  • Map critical dependencies

  • Document business logic

  • Define target architectures

  • Establish validation requirements before migration starts

 

This evidence-first approach helps you decide what should be migrated, consolidated, redesigned, rebuilt, or retired. 

 

 

From migration uncertainty to controlled execution


The playbook also introduces the core capabilities behind Lingaro Migration Factory: 

 

  • Migration Blueprint for visibility into scope, assets, and dependencies

  • Migration Planner for sequencing, ownership, and migration waves

  • Migration Engine for AI-assisted automation and repeatable delivery

  • Control Tower for governance, quality tracking, and progress visibility

 

Together, these capabilities help you move from migration uncertainty to controlled, evidence-based execution. 

 

 

The business impact

 
When migration decisions are based on evidence rather than assumptions, you can: 

 

  • Improve delivery predictability
  • Reduce migration risk
  • Strengthen governance and accountability
  • Increase visibility into progress and quality 
  • Build a stronger foundation for future analytics and AI initiatives

 

Whether you're planning a migration, validating readiness, or recovering a program that's already struggling, the Migration Factory Playbook provides practical guidance to help you make confident migration decisions.

 

Inside, you'll find proven approaches to readiness assessment, action planning, migration execution, governance, and recovery strategies designed to reduce risk and improve outcomes. 

 

 

Download the Migration Factory Playbook

 

Michał Dorociński
Michał Dorociński Account CTO

Michał Dorociński is a Lead Migration Enterprise Architect at Lingaro who specializes in data and AI transformation. He led the takeover and recovery of a stalled, compliance-critical data program for a leading global FMCG company, helping bring a high-risk initiative back on track. With deep expertise in enterprise modernization, Michał helps global organizations transform their data ecosystems, accelerate analytics adoption, and unlock business value through data-driven innovation.

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