Data Migration Hub
Optimally transferring data to the new system
The Data Migration Hub was specially developed for large-scale migration projects involving customer and prospect data. It structures, validates, cleanses and consolidates data efficiently and reliably - the ideal tool for your precise and secure data migration.
Better from the start: data migration with a clear focus on quality
The failure of a new system is almost guaranteed if data that was already of inadequate quality in the previous systems is simply transferred to new systems. The disappointment and demotivation of users in particular should not be underestimated here. In addition, a cleanly designed process with poor data will only function inadequately. Garbage in, garbage out!
Therefore, take the time to focus on the quality of your data when introducing new systems. Plan data migration as an integral part of your project. This will ensure the success of your project with high-quality, consolidated data. We support you with the expertise of our customer data experts and sophisticated solutions such as the Data Migration Hub.
What does the Data Migration Hub do?
"The Data Migration Hub is the ideal solution for efficient and secure data migration."
- The Data Migration Hub can adapt data models and consolidate data from different sources. It can also restructure, validate, cleanse and enrich data. In this way, it creates a uniform, error-free and high-quality database for new application systems.
- If several legacy systems are replaced by a new application system, different data structures often have to be standardized. The Data Migration Hub masters this task effortlessly - for smooth integration of all data.
- The Uniserv migration experts advise you on your migration project and plan each project step with you or your system partner. The Uniserv consultants customize the Data Migration Hub according to your requirements.
- Flexibly customizable, automated and AI-supported - this is how the Data Migration Hub accelerates even complex migration projects. The hub is typically used in the cloud.
First Time Right – High data quality from the beginning
Customer data is a valuable asset. A lot is invested in bringing it up to date. And then? Often nothing happens. Poor quality data spreads more and more throughout the company and hinders the entire business operation.
Implement your data quality firewall - up-to-dateness, completeness and accuracy right from data entry. Download the Uniserv white paper on First Time Right now free of charge. Perfect, high-quality data straight away!
Mastering challenges
The importance of data for your migration project
Smooth data migration is important when introducing new systems or updating existing ones. This ensures that the data can be used efficiently without affecting business processes, customer experience or strategic decisions. Especially when consolidating large amounts of data from different sources, companies often face major challenges when migrating to new systems or consolidating existing IT landscapes:
The Data Migration Hub offers you many advantages:
The Data Migration Hub is a system developed specifically for migration projects. Its ability to process data from different sources makes it the perfect tool for efficient, precise and low-risk data migration. Typical tasks include adapting and restructuring data models, as well as validating, cleansing, enriching and consolidating data. The Data Migration Hub combines state-of-the-art technologies with the practical expertise of our consultants.
- Data as a success factor
With our many years of expertise in data cleansing and data migration, we lay the foundation for your future system landscape and optimize the benefits of your new applications. - Holistic data consolidation
The Data Migration Hub simplifies the standardization and consolidation of data and ensures efficient transfer to a unified target system. It also enables the merging, cleansing and validation of data from different sources. This results in a consistent “golden record” that ensures the basis for the new target system. - Automation and precision
The use of state-of-the-art technologies and workflows makes the cleansing process steps largely error-tolerant, so that manual processing by the data steward is usually minimized. - Flexibility and experience
Our experts support your migration project from the planning stage to the go-live. No matter how complex your starting point is, we develop the right solution. We flexibly adapt the Data Migration Hub to the requirements of your company. - Maximum business continuity
Thanks to our proven process model and many years of experience, we guarantee you minimal downtime and a seamless transition.
- Consolidated and validated data: Instead of duplicates, only high-quality and consolidated data (golden records) remain in the new system. Incorrect data is largely corrected automatically.
- Data stewardship: Cases that could not be corrected automatically were cleaned up by a data steward in the data migration hub.
- Standardized and meaningful data structure: Even previously unstructured or semi-structured information is available in the right field in the right format.
- Ideal database for further processes: such as personalization and customer journey, AI projects, BI customer analyses.
- Motivated users: greater acceptance thanks to good data and functioning processes.
Implementation - professionally planned and efficiently implemented
Our migration experts are with you from the very beginning: Together with you and your system partner, we plan all the project steps in detail. In most cases, we recommend a data assessment or a proof of concept for the migration in advance to identify possible challenges at an early stage. Our consultants then adapt the Data Migration Hub exactly to your requirements. The hub is typically used in the cloud so that your IT operations are only minimally burdened by the migration project – for smooth and efficient implementation.
Why Uniserv?
Data Migration from the customer data expert
With our data migration solution, we ensure that your new application does not fail due to poor quality data and is future-proofed - with consolidated, high-quality data that drives your business forward. Rely on the Data Migration Hub and the expertise of our consultants when it comes to migrating customer and prospect data with maximum efficiency and minimum risk.
- Optimized data quality from the outset.
- Higher acceptance in the departments – a solution that your team will be happy to use.
- Unique Customer ID as the basis for a comprehensive 360° customer view and an optimized customer journey.
- Strategic decision-making based on a reliable database.
- Faster time-to-value: projects are completed on time and on budget.
And after the migration?
Secure the data quality you have achieved in the long term by switching from the Data Migration Hub to the Data Quality Hub after the migration without any major effort and linking it directly to your new application. The Data Quality Hub acts as a "back-end firewall" and ensures that only correct, consolidated data enters your system in future. As an option, it also minimizes data aging ("anti-aging") and enables continuous data enrichment.
Measure data quality - 5 tips for more transparency
When it comes to the quality of your own data, there is often nothing more than a vague gut feeling. So how do you make it all measurable?
Read the Uniserv business whitepaper 'Measurable data quality' to find out how you can switch from gut feeling to transparency when it comes to data quality and put it to the test.
Top companies rely on data quality from Uniserv
FAQ about the Data Migration Hub
A data migration project requires careful planning and execution to ensure that the data is transferred securely and efficiently with appropriate quality:
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Planning and analysis
Objectives: Defining the goals and scope of the data migration.
Inventory: Analyzing the current data landscape (data exploration) and identifying the data to be migrated.
Risk analysis: Identification of potential risks and development of strategies to minimize them. -
Data cleansing
Data quality: Checking and cleansing the data to ensure that only relevant and correct data is migrated. This is done in particular by means of address validation and identity resolution (deduplication). -
Data migration strategy
Migration approach: Selection of the appropriate migration approach (big bang, incremental, etc.). When migrating data to SAP S/4HANA, for example, you can choose between the migration scenarios greenfield (new implementation), brownfield (system conversion) and bluefield (selective data transition). -
Testing
Test plan: Creation of a detailed test plan to carry out the data migration in a test environment.
Mapping: Conversion of the existing data to any new data model that may be required. In the case of SAP S/4HANA, for example, the data must be consolidated into the central business partner master. This is done by the Customer Vendor Integration (CVI).
Validation: Checking the migrated data for completeness and accuracy. -
Realisation of the data migration
Pilot migration: Carrying out a data migration as a pilot project to test the process and identify any problems.
Main migration: Execution of the complete data migration based on the results of the pilot migration. -
Monitoring and support
Monitoring: Monitoring the data migration process in real time to identify and resolve problems immediately.
Support: Providing technical support during and after the data migration. -
Follow-up
Final audit: Performing a final audit to ensure that all data has been migrated correctly within the data migration.
Delta handling: This is the process where only the changes since the last interim check are transferred. This includes newly added or updated data. Already migrated or unchanged data is skipped.
Documentation: Creation of comprehensive documentation of the entire data migration process. -
Training and handover
Training: Training end users and administrators in the use of the new system.
Handover: Official handover of the new system to the users and administrators.
It is perfectly possible to carry out a data migration without high-quality data. However, this is not recommended. In the case of a data migration to SAP S/4HANA, for example, this leads to unwanted business partner duplicates during customer vendor integration. Other serious problems are:
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Data loss and corruption:
Incorrect or incomplete data can be lost or corrupted during data migration. This can lead to incomplete data records in the target system, which impairs data integrity and makes it more difficult to use the data. -
Increased costs and time expenditure:
Fixing problems caused by poor data quality is time consuming and costly. The entire data migration project can fail. -
Compliance issues:
Migrated data that does not comply with legal and regulatory requirements can lead to violations and fines. -
User dissatisfaction:
If migrated data is incomplete or incorrect, this can lead to dissatisfaction among end users. As a rule, acceptance of the new system decreases. Productivity is impaired.
The time that is supposedly saved in the run-up to a data migration usually has to be spent twice or three times as much afterwards. It is better to focus on the data and its quality right from the start. Data migration should be started from the point of view of the status of the data.
Repeated studies and our own experience with countless data migration projects prove that these are the top 3 challenges in a data migration project:
- Data quality and cleansing:
Ensuring that the data is correct, complete and consistent before it is migrated is one of the biggest challenges. Incorrect, duplicate or incomplete data can lead to significant problems in the target system after the data migration.
- Minimizing downtime:
System downtime can occur during data migration, which can impact business operations. This can be particularly critical if the data migration involves large volumes of data or business-critical systems.
- Data integrity and security:
Ensuring that data is not lost or corrupted during data migration and that it is protected from unauthorized access.
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