Get Clean Project · Fixed price · Fixed timeline
30,000 business partner records. Clean in 72 hours.
Duplicates, outdated suppliers and missing compliance data are silently costing you money. We validate, deduplicate and enrich your records against 2,600+ data quality rules and 70+ reference sources — and prove the impact with a before/after report.
Data quality trusted by global enterprises
- Bayer
- Nestlé
- Bosch
- Siemens
- BASF
- Tetra Pak
- Kuehne+Nagel
- Puma
Your master data is worse than you think
CDQ data quality benchmarks across millions of business partner records show the same pattern in every enterprise:
- 59%
of business partner records show critical rule violations
- 21%
of records become outdated within one year
- 16%
of records are unintended duplicates
Source: CDQ data quality benchmarks. Address data alone changes ~43,000 times per day — one change every two seconds.
From messy to trusted in 5 steps
You invest ~90 minutes of your time. We do the rest.
Scoping call
Align on your data challenges, goals and success criteria.
30 minKick-off
Define scope, dataset and next steps to start fast.
60 minSecure transfer
Share 30,000 records via encrypted, access-controlled channels.
Your pace72h cleansing
We validate, enrich and deduplicate against 2,600+ rules and 70+ reference sources.
72 hoursReport & insights
Before/after impact plus 5 concrete actions to move forward.
Included
See the impact, record by record
Every project ends with a transparent before/after report — the evidence you need for your S/4HANA migration business case, audit, or AI-readiness initiative.
- Duplicates identified and golden records proposed
- Legal names, addresses & identifiers validated against official registers
- Missing VAT/tax IDs, LEI and register data enriched
- Compliance-relevant gaps flagged (sanctions, natural persons/GDPR)
- 5 prioritized recommendations from CDQ data quality experts
| Quality dimension | Before | After |
|---|---|---|
| Records with critical violations | 17,700 (59%) | 312 (1%) |
| Unintended duplicates | 4,800 | 0 |
| Missing VAT / tax identifiers | 6,150 | 840* |
| Outdated addresses | 3,900 | 0 |
| Overall data quality score | 41 / 100 | 97 / 100 |
*Illustrative sample values — your report reflects your actual dataset.
Your data. Guarded like Swiss francs.
We apply the same uncompromising security standards to every project — whether it is 30,000 records or 30 million.
Encrypted end-to-end
Data encrypted in transit and at rest, processed in a professionally managed cloud environment.
Strict access control
Access limited to authorized specialists; systems continuously monitored.
GDPR-compliant
Natural-person records identified and handled according to GDPR requirements.
Purpose-bound
Your data is used exclusively for the agreed project scope. Nothing else. Ever.
Results our customers measured
The same cleansing engine behind the Get Clean Project powers some of Europe's largest data quality programs.
- Kuehne+Nagel660,000
duplicate customer records eliminated — 17% of all records in scope across 29 countries.
- Bayer AG97%
duplicate identification accuracy while merging 1.3M records in 10 weeks during the Monsanto merger.
- CovestroWeeks → minutes
bank account validation time collapsed through automated, trusted verification.
“We all have unclean master data everywhere. With the help of CDQ, we’ve brought our master data quality to the next level.”
Questions we hear before every project
If yours isn't here, ask it in the scoping call — that's what it's for.
What exactly happens in the 72 hours?
From the moment we receive your dataset, we run validation against 2,600+ data quality rules, match records against 70+ trusted reference sources (commercial registers, VAT registries, LEI and more), identify duplicates with our matching engine, and enrich missing attributes. You get back a cleansed dataset plus the full impact report.
What do you need from us?
About 90 minutes of your team's time (scoping + kick-off) and an export of 30,000 business partner records — customers, vendors, or a mix. We support standard formats and guide you through the extraction.
Is 9,999 CHF really the total price?
Yes. One fixed price, no hidden fees, no obligation to continue afterwards. If you later want to scale to your full dataset or add continuous monitoring, we'll scope that separately — at your pace.
How is our data protected?
Data is encrypted in transit and at rest, access is restricted to authorized specialists, systems are continuously monitored, and your data is used exclusively for the agreed project scope. We follow established security and compliance best practices, including GDPR handling of natural-person records.
We're preparing an S/4HANA migration. Does this fit?
Perfectly — that's the most common trigger. Migrating dirty data multiplies cost and risk; a Get Clean Project gives you a clean core before the move and a quantified data quality baseline for your migration business case.
What happens after the project?
Your data keeps changing (~43,000 address changes per day worldwide), so we include background monitoring. When you're ready, you can extend to full-dataset cleansing or CDQ All Time Right for continuous data quality — but there's no obligation.
Limited onboarding capacity — we start a handful of Get Clean projects per month
Fix your data once. Keep it clean forever.
Book a free 30-minute scoping call. We'll pinpoint where poor data hurts your processes and confirm whether the Get Clean Project fits — no commitment, no payment before scoping.
Prefer to talk directly? Your expert: George Al Shhadh, Data Quality Advisor, CDQ.
Book your scoping call
Takes 30 seconds. We reply within one business day.