Migration vs. Integration
In the world of data movement, data migration and data integration are sometimes mistaken for the same thing. In fact, these two data movements are very different from each other. If anyone understands this common mix up very well, it’s VL OMNI. As experts in data integration, every so often lines get crossed and a migration request mistakenly ends up with us.
The confusion is understandable as both migration and integration involve the moving of data. Both are also complex processes usually dealt with by experts, and the market is still catching up to what the experts already know. Today, we want to dig a bit deeper into either to see just exactly how data migration and data integration are very different processes.
Topics covered on this blog:
- What is Data Migration?
- Data Migration Process: How It Works
- What is Data Integration?
- How Data Integration Works
- Differences Between Data Migration and Data Integration
- Do you even need to migrate?
Migration means moving from one part of something to another.
Data migration is the act of taking data from one location, let’s say an ecommerce platform. Then, moving it to an entirely new location or in this example, a different ecommerce platform.
In cases such as these, the intent is to migrate the data to the new system because the original system will no longer be used or maintained. Put simply, you’ve bought a new house and you’re moving in, leaving the old house empty because you won’t be going back.
Data Migration Process: How It Works
While some data cleansing, unification, and field matching may happen as a part of this broader process, the core of the data itself is not being modified. Migration, by nature, works with existing (historic) data.
The explanation we’ve provided of data migration may seem fairly simple so far. However, migration can often be a very complicated endeavour that shouldn’t be rushed into. Rarely are two systems alike, meaning, how data is structured and stored in one place will not be the same on the other.
Data Migration Challenges
Going back to our ecommerce example above, let’s imagine each system as an individual bookshelf; each book on each of those shelves is your data. The bookshelf you’ve been using has shelves spaced at specific heights, but the new bookshelf doesn’t use the same distance between shelves. Now what? You have to get all the books on the new shelf but it requires re-organizing the books entirely to do so.
This re-organizing of books (i.e. data) becomes the primary challenge of data migration. Finding a place for all your data, without any sort of data transformation (again, migration alone often doesn’t allow for this) can leave your data mixed up, incorrect or missing altogether.
All this isn’t to say data migration should be avoided entirely. Rather, migration has a very specific purpose for when you absolutely have to move your data, permanently. For example, maybe your existing ecommerce service is shutting down and you have no choice but to get your data onto another platform. In cases like these, migration is your only option.
At its most basic, data integration is less about permanently moving data and more about sharing it between systems. Data does move, but unlike migration, it is not a one-way journey. Information is continuously passed between applications, channels, and trading partners from one system to the next; each one using the data in its own way.
Data integration is less about permanently moving data and more
about sharing it between systems.
The simplest example of this can be when your online store makes a sale. Your ecommerce system would send order details to your fulfillment system so the customer’s product gets shipped to them. In turn, the fulfillment system would send an update back to your store with a tracking number that gets added to the order details.
Endless Possibilities with Data Integration
The other big advantage data integration provides is having the ability to modify or transform your data in some manner while in transit between systems. As a refresher, data migration is taking the existing, historic data and moving it as is from System A to System B. Data integration, in contrast, affords you any number of options when it comes to changing the data as required.
In the world of VL OMNI, we move data between applications (either one-to-one, or one-to-many), but we also apply discreet business rules to the data as it moves, fundamentally changing the data itself. Data integration is a present and future-looking process, compared to the static packaging and moving that data migration does.
How Data Integration Works
To expand on this idea of data transformation, let’s say you have a modern ecommerce platform that needs to communicate with an older EDI (Electronic Data Interchange) fulfillment system. EDI systems by nature are very structured in how they handle data.
As an example, let’s consider ship methods and variable naming conventions between applications. Your ecommerce platform could call your ship methods one thing, while the EDI system is looking for very exact names for each one. Data integration allows you to take those ecommerce names and convert them to the proper EDI phrasing, passing the data along correctly every time.
By modifying what it moves, data integration has a broader impact on your business. Customer experience can be honed and refined through how your data is automated between your ecommerce platform and back-end technologies. Business intelligence becomes more strategic with automated data moving to and from all your applications. Great data integrators like VL OMNI will even arrange your applications to match corporate strategy and maximize growth and agility. Visibility increases across the organization while inefficient processes are managed out where possible.
Differences Between Data Migration and Data Integration
Data integration is a strategic endeavour. Data migration is a tactical one.
Integrating data (data integration) has quickly become a vital piece of any business, especially for multichannel retailers. Being able to automate part or all of the supply chain allows your company to scale, grow, and have consistent, clean data to base key business decisions on.
Scalability and growth are vital to keeping up in an ever-changing and competitive market, no matter if you’re a small to medium-sized business or a large enterprise. There are different approaches your business can take depending on its needs and resources.
Do you even need to migrate?
So if you are wondering what the right data movement is for your business, think about your long term goals. Data migration allows you to take existing data and simply move it as is from System A to System B. But if you are looking for a solution that is better than custom, then data integration is the best option for you. You have endless options when it comes to changing data as your business grows and expands for the future.
Ready To Accelerate Your Business Growth With Strategic Data Integration?
Editor’s Note: Originally published on February 12, 2019. This post has been revamped and updated for comprehensiveness.