Explaining data migration to non-technical stakeholders needs combining complexity and clarity. I've discovered that relatable analogies work well, comparing data migration to moving house, where data is like furniture that must be carefully packed, transported, and unpacked in its new location, helps make the concept more understandable. I also emphasise the benefits of migration, emphasising how it increases data accessibility, security, and operational efficiency, all of which are key stakeholder priorities. Simplifying jargon is also important; instead of "ETL", I explain it as "cleaning, organising, and moving data to where it's needed". The goal is always to increase understanding and trust in the process.

When explaining data migration to non-technical stakeholders, use relatable analogies and simple language. Compare it to moving to a new house: data (furniture) is carefully packed, transported, and unpacked into a new system (house) while ensuring nothing is lost or damaged. Highlight the purpose: improving accessibility, performance, and future readiness. Emphasize safeguards like quality checks and testing to avoid "missing items." Avoid technical jargon; focus on the benefits, like faster insights or improved efficiency. Finally, reassure them about timelines and support during the process. #DataMigration #StakeholderEngagement #DataWarehousing