Extract from Onna’s article “7 Common Data Migration Challenges (And How to Solve Them)”
Data migration is a critical process that involves transferring data from one location, format, or application to another. Typically, this occurs when an organization introduces a new system or location for its data, often driven by a need to consolidate or migrate legacy systems to newer ones that can better utilize the data. Migrating to a new enterprise application brings numerous benefits, including improved performance, increased competitiveness, scalability, cost savings, and maximized value, among others.
However, these benefits can come with significant challenges. Migrating existing data to a new application can be a daunting task that introduces inaccuracies, redundancies, and security issues, putting the entire organization at risk. To minimize these risks and ensure a successful outcome, it’s crucial to approach data migration with proper preparation and planning.
In this blog post, we’ll explore some of the most common challenges organizations face during the data migration process and provide practical tips to overcome them.
1. Failing to plan: The number one pitfall in data migration
To ensure a successful data migration, proper planning is critical. In other words, fail to plan, plan to fail. Neglecting to create a comprehensive plan can significantly increase the risk of the project going over budget, experiencing significant delays, and not meeting objectives, ultimately leading to failure.
