Whatever the purpose for the data migration, completing it effectively means enhancing the quality, connectivity, and security of customer, employee, supplier, and/or product data, which is a valuable asset for any company.
When we finish a data migration project, we’ve accomplished more than just moving data from one system to another. Keep in mind that this is a large-scale program with numerous activities and phases aimed at improving the flow and quality of data inside the firm.
The goal of relocating the data is to meet the organization’s various needs when working with it. To that aim, data is cleansed, enriched, and integrated in accordance with business rules when it is reviewed for migration.
From the beginning, problems that influence the company’s day-to-day operations are discovered and rectified, such as those connected to various data anomalies, such as errors, omissions, poor descriptions, duplicate data, and so on.
During the lengthy implementation process, data quality assessments are carried out in order to have a better understanding of the situation and, as a result, to be able to address any shortcomings with the appropriate steps.
Initiatives to integrate data and condense the various systems are also required. In practise, the total of these steps raises the data’s qualitative worth.
They will benefit in the same manner that a data migration involves the entire firm, from the IT department to the various users.
Better management and competitive advantage
The time, effort and resources dedicated to the success of a data migration project will translate into benefits such as the following:
- IT cost reduction.
- Infrastructure consolidation.
- Optimization of processes.
- Quality, clean, secure and connected data.
- Detection of deviations, errors, duplicities and inconsistencies in the data.
- Early identification of risks.
- Increased information security.
We achieve operational efficiency, increased agility, maximum updating, clean, secure, and connected data that responds to business requirements, delivers quality information, and so facilitates the generation of additional revenue.
We will have consistent information without duplication, resulting in a more dynamic and precise manner of operating and, as a result, a reduction in errors. In other words, we will attain improved technological efficiency, operational problem prevention, and data reliability for decision-making and obtaining advantages.
Master Data Management technology in migration process
However, master data management (MDM) technology can be quite valuable throughout the transfer process in many circumstances. The explanation is simple: it allows us to create a unique image of reality and link it to the relevant origin systems.
We may utilise the same implementation to make the leap to the lucrative MDM once it’s completed. We will be considerably closer to completing the creation of the MDM and fully integrating it into the architecture as a result of this first stage.
As a result, the data’s quality, consistency, and integration will allow for more mobility when integrating SOA services or other data-transfer operations. All of this should logically result in a distinct competitive advantage.
Data migration is the process of moving information from one system to another. This is frequent when upgrading hardware or transferring from an old system to a new one, as well as when shifting systems from on-premises to the cloud. We must take advantage of this data movement to clean, enhance, and combine them in a consistent manner, thereby boosting their quality.
