As a systems integrator, we notice that Data Integration and Data Migration, are often used interchangeably, though they serve distinct purposes. Understanding these differences can help organizations plan for these projects and work with the right products and vendors. 

Data Integration

Data Integration is the process of combining data from various sources into a unified view. The primary goal is to create a cohesive dataset that can be functionally used and analyzed across different systems and applications within an organization. This process typically involves real-time data sharing, allowing information to be accessible and actionable across departments. 

 Purpose of Data Integration: 

• Real-time Access: Data integration solutions allow continuous data exchange across systems, providing real-time or near-real-time updates using integration Platform as a Service (iPaaS) tools and other traditional integration methods. For example, the member data in the Association Management System (AMS) holds the membership status. When the member purchases something online, the ecommerce platform won’t know the status of the customer. The integration would send that information from AMS to the eCommerce platform. 

• Data Transformation: Data often requires standardization or transformation to ensure consistency across systems. This may involve matching data formats or resolving discrepancies. 

• Centralized View: Integrating data from various sources allows organizations to create a comprehensive view of business operations, enhancing insights and supporting better decision-making. For example, an AMS could provide a 360-degree view of a member by consolidating data such as course completion records from the Learning Management System, email engagement details, information from the marketing automation platform, and credentials from the credential management system. 

 Data Migration

Data Migration refers to the process of transferring large amounts of data from one system to another. Unlike data integration, data migration typically happens as a one-time event or during scheduled intervals. It is commonly used during system upgrades, consolidations, or transitions to new infrastructure. 

 Purpose of Data Migration 

• Data Transfer: The main goal is to move data from one environment to another without altering the data content in bulk. 

• Temporary or Permanent Move: Migration can be part of a temporary move, such as in testing environments, or a permanent shift, such as moving from on-premises to cloud storage. For example, if the association changes the Learning Management System, the bulk of the data needs to be moved to the newer system. 

Data Integration vs Data Migration:   

There are significant nuances to the purpose and process of implementation for data integration versus data migration. It is important to discuss this during the design phase and express the requirements clearly to the developers/vendors.