Many well-known global companies from different industries already rely on our Data Quality as a Service (DQaaS) capabilities and the Data Sharing Community to improve their business partner master data.
Spotlight on Customers
CDQ Client Spotlight:
Schwarz IT
Integrated VAT validation for more speed and efficiency
Speed
Faster creation and changes
Integrated VAT check saves 3 minutes for each record creation and 15 minutes for record change
Trust
Enhanced risk safety
For the entire group with one-click VAT checks
Efficiency
3,100 hours saved per year
With integrated VAT validation and deduplication services
We received great feedback for the integration, and our business departments eagerly anticipate an integrated VAT check.
Thomas Gutmann
Business Consulting BI & Data
CDQ Client Spotlight:
Kuehne+Nagel
Effective data cleansing of 4 Mio. global customer records
Speed
2y to cleanse 80% of data
The first ever global process for clean-up of duplicate customer records included 29 largest countries
Trust
660,000 duplicates eliminated
equaling 17% of customer records in scope, that used to complicate daily operations and analytics
Efficiency
Lean review process
for 400 reviewers in various functions of 4 business units of Kuehne+Nagel
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
Dr. Andreas Nohn
Senior Data Scientist
CDQ Client Spotlight:
Covestro AG
Bank Account validation - from weeks to minutes
Speed
2 weeks to 1min
CDQ Trust Score reduces lead time for defined Bank Account validations
Trust
21% Match Rate
with Bank Trust Score >0 (actual transactions)
Efficiency
8% full automation
8% of all Bank Account Validations can be fulfilled fully automated
CDQ bank trust score integration to Covestro’s SAP MDG reduces lead time during vendor creations!
Christian Jantzen
Head of Data Management
CDQ Client Spotlight:
Evonik Industries
30% time saving for bank data validation with CDQ trust score
Speed
16% automation
of bank account data information; in some countries (e.g., Germany) already 60% can be achieved
Trust
0 successful fraud attacks
since implementation of CDQ trust score in 2021 thanks to the risk-based validation approach
Efficiency
30% time saving
for bank data validation team thanks to user-friendly handling and reliable data of external peers
This solution received an overwhelming amount of positive internal feedback. The keys to success are our data self-services solution of CuVenSA (Customer and Vendor Smart App), the auto-matic identification of validated bank information based on the CDQ data pool and our internal database.
Markus Mützel
Head of Process & Master Data Management
CDQ Client Spotlight:
DOVISTA
More than Business Partner Data - Compliant & efficient Corporate Data Onboarding
Risk
Regulatory Compliance
Reliably complying to policies and legal demands, EU legislations and Dovistas expectations
Trust
360° View
on your Business Partner Data, exceeding standard register information
Speed
28% Reduction
of processing time for business partner creation
We were able to enable a solid, sustain and futureproof solution around our data foundation, processes and sanction compliance by obtaining screening technology, fraud prevention and internal controls
Heidi Sandager Larsen
Data Governance & Compliance Manager
CDQ Client Spotlight:
Nestlé
Faster Sales with Better Customer Master Data
Speed
From 7 days to 1
80% of all customer are created within 1 day, speeding up the sales process
Trust
Over 95% data quality
for vendor data, over 90% for customer data, top-3 within the Data Sharing Community
Efficiency
14% cost reduction
with 80% “first time right” rate, and 6 Mio. de-activated inactive/duplicated records
CDQ services supported our transition into “Nestlé’s Business Services” and enabled new benefits in terms of speed and efficiency.
Jean-Marc Klopfenstein
Global Master Data Lead
CDQ Client Spotlight:
Bayer AG
Effective data improvement for one of Germany's biggest mergers
Speed
10 weeks
1.3 Mio BP data records from Bayer and Monsanto merged and improved within 10 weeks
Trust
97%
of duplicates identified correctly
Efficiency
80,000 less duplicates
Duplicates can slow down decisions and processes
A merger of this size needed the best data management approach we know. With CDQ, we could deliver faster and better!
Gerhard Gripp
Global Data Lead M&A
CDQ Client Spotlight:
Dräger
Boosting Trust and Efficiency
Trust
98% duplicate free
creation of Sold-To customer master data records and 87%-95% “first time right” data quality in participating countries
Efficiency
50% time saving
for customer creation across SAP and CRM systems
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.
Eva Schultze
Director Global Data Management
CDQ Client Spotlight:
Bayer AG
More automation leads to less processing time and less workload
Speed
2 seconds instead of 2 days
Instant risk-based approval instead of 2-day SLA
Trust
40% automation
of SAP MDG requests with reliable data quality rules
Efficiency
50% processing time less
Time in SAP MDG reduced from 28 to 14 hours
How to detect the 80% ‘good’ requests automatically across 150k change request per year? – this was the question driving us.
Extrapolating early numbers, we have an automation rate of ~40% and a workload saving of 25%.
Jens Peter Henriksen
Global Process Owner Master Data
CDQ Client Spotlight:
Tetra Pak
Master data automation for global and local data excellence
Speed
73% drop of processing time
From 30 to 8 minutes for customer creation and change request
Trust
99% automation
thanks to reliable data quality rules
Efficiency
1,060 h saved
within the first 10 months reflecting resource use
The time saved not only covers the investment in the initiative, but also frees up capacity for new projects, setting the stage for future SAP S4/HANA migration and data consolidation initiatives.
Emanuele Francia
Enterprise Data Governance Manager
CDQ Client Spotlight:
Rheinmetall
Cost avoidance and less duplicates through data cleansing
Speed
83 companies, 15 systems, 1.5y
The central data team coordinated data owners in all 6 business divisions to clean up ca. 300,000 records.
Trust
60% duplicates and legacy data identified
Both today’s business processes and the S/4HANA program benefit from eliminated duplicates.
Efficiency
Out-of-the-box data validation
CDQ’s +2,600 data quality rules and the mature duplicate algorithm freed up capacities for efficient data cleansing.
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.
We all have unclean master data everywhere. With the help of CDQ, we’ve brought our master data quality to the next level.
Jonas Gubo
Governance Processes Manager, PUMA
We received great feedback for the integration, and our business departments eagerly anticipate an integrated VAT check.
Thomas Gutmann
Business Consulting Data & Analytics, Schwarz IT
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.
Eva Schultze
Director Global Data Management, Dräger AG
CDQ delivers a data management toolbox for our business partner data. The wide range of use case specific solutions created instant benefits for our internal customers. Together with the innovative CDQ Data Sharing Community we shape the future of interenterprise MDM.
Thomas Gutmann
Business Consulting Data & Analytics, Schwarz IT
We enabled a solid, sustainable and futureproof solution around our data foundation, processes and sanction compliance by obtaining screening technology, fraud prevention and internal controls.
Heidi Sandager Larsen
Governance & Compliance Manager, Dovista
Sharing proven bank account data saves significant time, compared to contacting the customers/vendors directly to verify new bank accounts. "Data Shareconomy" is an effective approach to unlock this source of trusted information.