CDQ Guards · Real-time data quality
Stop bad business partner data before it enters your systems
Data Quality Guard is CDQ's continuous, rule-driven service that prevents and detects defects in supplier and customer data — checking identifiers, addresses, tax numbers and bank accounts against authoritative sources, right inside your ERP and CRM workflows.
Trusted by global enterprises
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A rules library built for business partner data
Instead of generic checks, you start from a library purpose-built for supplier and customer records — validated against authoritative external sources — and extend it with your own rules.
- >1,500
ready-to-use rules for business partner data, plus your own custom rules
CDQ Guards
What Data Quality Guard does
One rules engine, run in two modes — transactional checks at the point of entry and continuous monitoring over time — embedded directly in the systems your teams already use.
Data Quality Rules Engine
A high-performance engine that turns documented data requirements into executable rules, running the same rule set for real-time checks and batch analyses so results stay consistent. Enable or exclude rules, adjust criticality levels, customize violation messages, and filter by rule status.
Data Quality Rules library
A comprehensive collection of ready-to-use rules covering business and location identifiers, country-specific address standards, business partner status and legal form, compliance and risk checks, and bank account validation — each returning a status, defect type and severity, recommended action, and provenance.
Data Quality Monitor
Continuously monitors new and updated records in your Data Mirror, automatically applying dedicated rules to check identifier format, checksum and existence, address accuracy and completeness, core concepts and overall consistency — using external services such as VIES for complex checks.
Custom Rules
Document and implement your organization-specific rules from standard templates without altering existing integrations, run community and custom rules through identical interfaces, manage reference data and allowed values, and approve new community rules before they go live — with an Automation Decision Engine proposing auto-approval or manual review.
Data Quality Dashboard
A visual view of your data quality across accuracy, completeness, consistency and duplication, with trend tracking, root-cause insight, focused filters, and benchmarking of your performance against other companies using the monitoring service.
APIs / headless integration
Headless APIs let you embed quality checks directly into ERP, CRM and MDM systems and existing automation or AI pipelines, delivering machine-readable, validated outputs with provenance metadata across large, distributed landscapes without heavy IT overhead.
Why CDQ Data Quality Guard
Manual and periodic cleansing can't keep pace with constant real-world change, and generic tools lack the domain specificity for business partner data. Data Quality Guard closes that gap.
Prevention at source plus continuous detection
Transactional and monitoring modes work together — catching errors at the point of entry and detecting degradation over time — so you close the gap siloed solutions leave between detection and correction.
Domain-specific rules for business partner data
More than 1,500 rules purpose-built for business partner identifiers, addresses, tax numbers and bank accounts, validated against authoritative external sources — not generic, one-size-fits-all checks.
Network-enabled feedback loop
With consent, every validated correction can strengthen both your data and the wider CDQ Data Sharing Community, so improvements compound across peers while privacy and governance controls are preserved.
Audit-ready traceability by design
Every rule execution is logged with provenance, severity and corrective suggestions, turning governance from static policy into provable enforcement — a clear audit trail for internal and external stakeholders.
How Data Quality Guard works
From activating your data sources to sharing verified improvements — corrections stay under your control at every step.
Activate data sources
Select the data sources and a Data Validation Configuration within your Data Mirror to activate for update monitoring.
Setup
Configure rules
Choose from the 1,500+ rule library, document and implement custom rules from standard templates, and set criticality levels and violation messages to fit your use case.
Setup
Check at the point of entry
Transactional checks validate new and changed records at source against authoritative external sources, blocking or flagging non-compliant entries before they reach your core systems.
Real time
Monitor continuously
Data Quality Monitor automatically applies rules to new and updated records in the Data Mirror, surfacing defects as they appear and keeping an always-current view of quality.
Continuous
Review, act, and share
Each execution returns a status, defect type, severity, recommended action and full provenance; the Dashboard visualizes trends and benchmarks. With consent, validated corrections feed the CDQ community so peers benefit too.
Frequently asked questions
What master-data, governance, compliance and integration teams ask before booking a demo.
What is Data Quality Guard?
It's CDQ's continuous, rule-driven data quality service for business partner data. It applies a library of more than 1,500 ready-to-use rules — plus your own custom rules — to check identifiers, addresses, tax numbers, bank accounts and other critical fields against authoritative external sources, both at the point of entry and through ongoing monitoring.
Who is it for?
Data governance leads who need a centralized, rules-based framework; compliance and risk managers who need tax ID, sanctions and beneficial-ownership checks with a full audit history; finance and procurement teams cutting exceptions and duplicate records; and AI and integration teams who need verified, traceable data and headless APIs.
How does it integrate with SAP, ERP and CRM?
Data Quality Guard embeds directly into your ERP, CRM and MDM workflows — including SAP MDG — via headless APIs, so quality checks run inside the systems your teams already use. Machine-readable outputs with provenance metadata let it scale across large, distributed landscapes without heavy IT overhead.
Do we stay in control of our data and corrections?
Yes. It runs on a secure, customer-specific Data Mirror, every check is logged with its rule, source and evidence for full traceability, and corrections stay under your control — insights are proposed, never enforced. Sharing validated improvements to the CDQ Data Sharing Community happens only with your consent, with privacy and governance controls preserved.
How do we get started?
Book a demo with a CDQ expert. We'll walk through activating your data sources, configuring rules from the library plus your own, and running both point-of-entry checks and continuous monitoring against your business partner data.
Book a demo
See Data Quality Guard on your data
Book a demo with a CDQ expert and we'll show you how to prevent and detect business partner data defects in your own ERP or CRM workflows — from rule setup to continuous monitoring and audit-ready reporting.
Book your CDQ demo
Pick a 30-minute slot — see Data Quality Guard working on your own data.