The importance of MDM in data migration
Posted: Tue Jan 21, 2025 10:13 am
In this post we guide you on the great usefulness that MDM solutions can have in data migration projects.
Data migrations are not easy, that is well known. Their complexity will depend on many different factors, especially on how integrated the target system is, and good planning is also required to establish a roadmap and prevent possible problems and unforeseen events.
Since every migration is different, we must work from a plan tailored to each case. At the same time, there are common problems that require standardized solutions, and here the application of master data management (MDM) technology can make a big difference when it comes to successfully moving stored data.
The reason for its usefulness is none other than its rich people database for establishing a single vision of reality and linking it to the different source systems. In fact, the objective of data migration is none other than to satisfy the needs of the organization.
MDM: How to create a single view of the customer, improve the customer experience thanks to the management of your master data
Reconciling coherence and different approaches
Specifically, the goal is to respond to the specific requirements of users or departments without compromising the reconciliation of master data across the company, always respecting business rules. A situation that often leads to problems of apparent incompatibility , but which fortunately MDM can resolve.
Beyond the implementation of MDM to achieve data quality, consistency and integration as the ultimate goal, we can encounter particularly complicated situations from the start. A clear example occurs when MDM techniques are useful for preserving different approaches and thus providing data consistency before waiting for the target system.
In fact, no matter how integrated the target system is, it is possible that the data sources are independent solutions, designed from different visions. Not in vain, business processes generate visions in relation to their position in them.
Since these are visions motivated by the different position in the process flows, it would be a serious mistake to prioritize one over the others. Each group of users or departments has modeled the system based on their needs, so this challenge must be addressed with a solution that seeks coherence while respecting these differences.
Let's consider, for example, the installation of a new application to plan production more efficiently. It does this by linking accounting and human resources applications. However, as we have pointed out, each of these departments and respective systems has its own vision.
Data migrations are not easy, that is well known. Their complexity will depend on many different factors, especially on how integrated the target system is, and good planning is also required to establish a roadmap and prevent possible problems and unforeseen events.
Since every migration is different, we must work from a plan tailored to each case. At the same time, there are common problems that require standardized solutions, and here the application of master data management (MDM) technology can make a big difference when it comes to successfully moving stored data.
The reason for its usefulness is none other than its rich people database for establishing a single vision of reality and linking it to the different source systems. In fact, the objective of data migration is none other than to satisfy the needs of the organization.
MDM: How to create a single view of the customer, improve the customer experience thanks to the management of your master data
Reconciling coherence and different approaches
Specifically, the goal is to respond to the specific requirements of users or departments without compromising the reconciliation of master data across the company, always respecting business rules. A situation that often leads to problems of apparent incompatibility , but which fortunately MDM can resolve.
Beyond the implementation of MDM to achieve data quality, consistency and integration as the ultimate goal, we can encounter particularly complicated situations from the start. A clear example occurs when MDM techniques are useful for preserving different approaches and thus providing data consistency before waiting for the target system.
In fact, no matter how integrated the target system is, it is possible that the data sources are independent solutions, designed from different visions. Not in vain, business processes generate visions in relation to their position in them.
Since these are visions motivated by the different position in the process flows, it would be a serious mistake to prioritize one over the others. Each group of users or departments has modeled the system based on their needs, so this challenge must be addressed with a solution that seeks coherence while respecting these differences.
Let's consider, for example, the installation of a new application to plan production more efficiently. It does this by linking accounting and human resources applications. However, as we have pointed out, each of these departments and respective systems has its own vision.