Get Clean for SAP S/4HANA Migration
Less complexity for your SAP transition with clean business partner data
While companies spend millions of Euros and dedicate several years to S/4HANA migrations, here's the catch: if your data isn't set for the transformation, you might as well be burning your money! CDQ software solutions support your preparations for migration, as well as help make the most of S/4HANA environment.
But speed without precision is simply fast in the wrong direction...
have critical violations
outdate within 1 year*
are unintended duplicates
Business partner data fit for S/4HANA implementation
Raising the data quality in various SAP implementations, including migration to S/4HANA, is a topic for many organizations at the moment.
In the business partner domain specifically, the typical challenges of S/4HANA migration are data deduplication, data cleansing, and managing compatibility with existing systems.
CDQ software solutions help you address these challenges. With out-of-the-box mapping to SAP One Domain Model, you can sort, clean, and improve business partner data, as well as import the legacy data into the right data model.
Get your business partner data clean for S/4HANA migration*
*CDQ-supported get-clean project requires minimum effort on your side and is fully facilitated by our Customer Success Manager and Solution Architect.
All steps in the project can be customized and adapted to your specific needs.
How other companies achieve clean master data with CDQ
In the project, we not only eliminated thousands of duplicates, but developed a sustainable cleansing approach, including global duplicate definitions, a cross-company review process and an innovative review tool
CDQ offers a single platform for maintenance, assurance of 1st time right, duplicate avoidance and integration of external data. It's web based, easy to use and workflow supported.
A merger of this size needed the best data management approach we know. With CDQ, we could deliver faster and better!
Our vision for transitioning to S/4HANA is to start the journey with a foundation of clean data. By ensuring the accuracy and completeness of our data, we will pave the way for a successful migration to the new platform.
How CDQ adds value to your S/4HANA transformation
EFFICIENCY
1. Lower costs for the migration with top-notch data quality and precise volume of migrated datasets.
2. Efficiently remove duplicate and legacy records to streamline data across the organization and all divisions.
3. Enhance efficiency of your S/4HANA with accurate data in the system.
TRUSTED DATA
1. Validate your business partners against 70+ external data sources for complete and correct data at creation.
2. Consdolidate information from multiple sources to generate Golden Records.
3. With out-of-the-box mapping to SAP ODM, you can import your data records directly into S/4HANA with just one click.
CONFIDENT GO-LIVE
1. Standardize processes for customer and vendor creation to maintain data consistency and accuracy post-migration.
2. Receive business partners updates from registers and CDQ Data Sharing Community, directly into S/4HANA.
3. Facilitate smoother business processes within the new environment.
Migrate duplicate-free to SAP S/4HANA
Maintaining accurate and up-to-date master data is crucial for organizations of all sizes. Master data, such as business partner information, is often collected and stored in various systems across an organization.
A systematic approach to identify and manage duplicate records within a dataset is particularly critical during significant system changes, updates, or mergers, such as the mandatory migration to SAP S/4HANA by 2027.
Discover a handful of best practices for a seamless S/4HANA migration, along with industry insights and recommendations for efficiently deduplicating your business partner master data.
Duplicate-free journey to data excellence
Tetra Pak’s ambitious project towards master data excellence started with a major migration to a new version of their CRM tool. What tools, workflows, rules and requirements helped them on the journey?
CDQ services support the governance processes in SAP and enable an error-free onboarding of customers and suppliers without duplicate generation, monitoring of data sources for changes, and furthermore, for building trust in good business partner master data. For more background on Tetra Pak’s successful data quality journey watch the full story.
Discover the smart data journey with CDQ
Clean your data once and ensure new records are entered correctly to stay clean over time.
Stay clean post-migration to make the most of your S/4HANA
When migrating to SAP S/4HANA, success goes beyond go live. Leverage the benefits of S/4HANA to nurture a dynamic business environment post-transition where every decision and action is fueled by reliable high-quality data in real time.
Speed up your master data creation with SAP-endorsed solution CDQ First Time Right and create your records from reference. Choose your preferred source for company data and automate your data transfer with quality-assured rule based check against 70 trusted sources and over 2300 ready-to-use data quality rules.
Increase automation with CDQ Zero Maintenance to deliver business partners updates from official registers and the CDQ Data Sharing Community, directly into S/4HANA workflows.
See below how other CDQ Solutions allow even more value and automation for your data maintenance and risk handling
Trusted business partner data for SAP users
SAP-certified First Time Right solution seamlessly pulls in business partner information from trusted external sources, including CDQ Data Sharing Community, commercial data, and public sources. It standardizes data to SAP ODM Business Partner, merges it into a comprehensive dataset, and ensures excellent data quality through AI and ready-to-use data quality rules, so you can boost your data management with:
Speed
- Business partner data ready to use in minutes instead of hours
- Experience no latencies or broken dataflows
Accuracy
- Use only up-to-date and complete business partner data
- Automate instead of researching siloed data sources manually
Improved productivity and data quality
- Complete, correct, fit-for-use data from 70+ external data sources provided by CDQ
- Golden Record augmenting results from international registers (including sources like BvD and D&B)
Integration of CDQ First Time Right is available out-of-the-box for SAP Business Suite, S/4HANA on-premise, both private and public cloud deployments through SAP MDG, cloud edition, and SAP MDG on S/4HANA. Visit our blog for more technical details of the solution.
Discover the CDQ Cloud Suite Solutions
What makes CDQ the right partner for your migration?
In September 2021, CDQ and SAP entered into a strategic investment and collaboration to deliver master data automation for intelligent enterprises. This is the next level of a proven, long-term partnership to offer SAP customers one single gateway for consuming business partner information through CDQ's solutions - accurate data to bring SAP systems faster up to speed.
CDQ has direct connection to the official registries in 44 countries. This gives the benefit of a seamless integration of the original data with no or minimal latencies. Additionally, the data reach from our Data Sharing Community is even wider. Open sources and commercial data sources can be activated and used according to needs to retrieve real time data.
Algorithm-based Golden Record compiles best possible data in real-time from 70+ trusted data sources, adds missing information and improves data quality with a truly single source of truth.
CDQ First Time Right, also available in SAP store as an SAP-endorsed app utilizes intelligence derived from over 2,300 data quality rules and data sourced from over 70 registers. Integrated into SAP, it enables creation of correct and complete business partners at a click of a button.
While many companies spend months defining the business partner concept, our experts from CDQ Business Consulting can help to establish a clear scope of the project and support your teams at all stages of implementation.
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