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Data on the move: Preparing for a data migration project
Learn how to avoid data migration pitfalls and ensure a smooth transition
Moving from one house to another is a colossal task that requires collaboration and careful planning. The same is true for migrating data. In both cases, the better you prepare, the smoother the move.
In this blog, we'll unpack how to discover, assess, and prioritize data to prepare for a seamless and successful data migration project.
Getting a clear understanding of your current data landscape is crucial when it comes to building a solid data migration strategy. Identifying your data's users, usage patterns, and connections with other assets and applications is essential. However, we often see teams fall into one of two traps without a solid plan: lift-and-shift or manual migration methods.
Now that you know the pitfalls, it's time we share how to avoid them.
From our team's experience running thousands of digital transformation projects for Fortune 500 companies, we've identified the three steps to prepare for a successful data migration.
The scale of a data migration project can feel daunting – but you don't have to embark on the journey alone. Enterprise leaders increasingly rely on data migration software and specialists to accelerate their initiatives.
At Genpact, our data experts use PowerMe. This data intelligence platform allows data owners, data stewards, and IT leaders to make sense of their data easily and effectively by having everything in one place. With PowerMe, cross-functional teams can discover, trace, and trust their data to make decisions confidently.
Consider our partnership with one of the world's largest brewing companies. As an industry leader, the company had acquired 250 brands and managed 175 breweries in 70 countries. But rapid growth brought disconnected data between tracking materials, manufacturing, and quality control to warehousing, sales, and fulfillment.
To solve this pain point, we used PowerMe to discover and identify the most relevant data assets, automate metadata harvesting, and catalog the most critical data on the cloud. Now employees enjoy data-driven insights at the click of a button.
As legacy systems become increasingly complex and fragmented – and the volume of data skyrockets – enterprise leaders might feel tempted to put data migration projects on the back burner.
But you shouldn't let data migration stand between your enterprise and its digital transformation goals.
Following our advice, and exploring the power of data intelligence platforms, you'll be ready to make a move to the future and begin transforming data into actionable insights that power innovation.