Data Cleansing
Get your business partner master data clean not once, but smart!
Why your customer and vendor master data need to get clean:
critical violations
outdate within 1 year*
unintended duplicates
Data fit for purpose
Correct data of your customers and vendors is a prerequisite for proper invoicing, authority tax reporting, or reliable compliance checks. At the same time, manual data maintenance is time-consuming and error-prone due to the various country-specific reference data sources, as well as volatile business landscape.
With our capabilities, master data cleansing becomes easier. By checking against 2,500 data quality rules and more than 70 reference data sources, CDQ gives you a comprehensive tool for handling any missing information in your business partner data, incorrect attributes, or duplicated records, making your data fit for purpose.
Utilize CDQ out of the box services in a structured process for your master data cleansing - not just once, but continuously.
Getting master data clean is just the beginning
Get clean to stay clean
At least one data record for your business partners has changed since you have opened this website. We know this because our 'Business Partner Update Monitoring' counts 43K changes every day in address information alone, including minor and major changes.
That's one update every two seconds! Does it mean master data cleansing every two seconds too?
How do you keep track on all other changes include address updates, new financial status, new owners or legal forms, fraud attempts, or bank account changes?
Sustainable approach to maintaining high quality data comes with CDQ Zero Maintenance solutions, that keeps track on all business partner updates and automates your master data monitoring on an ongoing basis.
Getting it clean with CDQ: master data cleansing
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
A merger of this size needed the best data management approach we know. With CDQ, we could deliver faster and better!
How CDQ can help you
Get clean and stay clean with our best in breed software solutions and 18 years of hands-on experience in corporate data quality. Integrate CDQ solutions to your system via APIs to enable continuous maintenance and improvement of your data stack.
We give you a comprehensive solution for managing the quality of business partner data, including data cleansing, data enrichment, data standardization, and data governance - not limited to syntax but also including semantic checks. And the data quality rules are already in place, so no configuration is required by the customer
CDQ-supported get-clean project requires minimum effort on your side and is fully facilitated by our Customerr Success Manager and Solution Architect. All steps in your master data cleansing project can be customized and adapted to your specific needs.
Clean master data? Absolutely. Master data cleansing? Not exactly a walk in the park.
Mastering data cleansing usually means wading through endless tables and systems, getting buy-in from multiple business processes, all to establish standards, priorities, and who's responsible for what. And if you're thinking about applying specific data cleansing services, they often lack the flexibility to handle those unique business needs and the fuzzy logic that comes with it.
It's time to enjoy a hassle-free clean-up
7 steps of master data cleansing
Data Scoping
Define scope/focus, e.g., domain: customer, account groups: sold-to, countries: Europe.
Technical Profiler
Is the data extracted correctly? Are there any missing fields? Is the content in the right format and field?
Mapping and Import
How does your data attributes map to the CDQ data model?
Data Quality Check
The initial measurement of your data quality based on +2300 out-of-the-box data quality rules.
Duplicate Identification & Consolidation
Identification of potential duplicates based on proven CDQ matching algorithm.
Data Cleansing and Enrichment
Enrichment of missing identifiers and alignment of name/address data based on ext. reference data sources.
Extended Record
Consolidated record from duplicate matching report with enriched data from data cleaning & enrichment.
Clean data? Yes, please.
Master data cleansing is often a tedious search in countless tables and systems, involving at least three different business processes that need to agree on standards, priorities, responsibilities. And if data cleansing services are considered, most of the time they are not flexible enough to take business-specific requirements and fuzzy logic into consideration.
Recommended solutions
More trust: Asses data
- Find out how much of your existing data is correct, complete and fit-for-use. Rule-based assessment of data quality reveals any duplicates and errors across your business partner datasets. Our platform is open to all connected registers – including audit-trail.
- You can gain instant understanding where the quality of your business partner data is already sufficient, where are defect clusters, and where is a specific need for prompt action.
- CDQ Data Quality Cockpit includes all capabilities essential for your get clean project.
More efficiency: Maintain data
- Once your master data is clean and correct, CDQ Zero Maintenance capabilities will help you to keep track on any business partner updates that are typically overlooked, and thus pile up creating a need for new get-clean efforts. Instead, keep your data in shape and up-to-date.
- Continuously monitor correctness of tax ID and address details of existing business partners. Automated ongoing validation ensures you are always working with the most up-to-date information and any changes of data records are prompted to you in the system and through push messages.
- CDQ Data Sharing Community provides trusted environment to tackle business partner updates even more efficiently.
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