CDQ Guards · Duplicate detection & consolidation
Duplicate Guard continuously detects, monitors, and consolidates duplicate business partner records — using high-precision matching and configurable rules to give you a single, traceable view of each customer, supplier, and vendor across every system.

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CDQ Guards
Duplicate Guard combines high-precision matching, near real-time monitoring, and rule-driven consolidation so you keep one trusted golden record for every business partner — across every system.
Identifies potential duplicates through a three-step process — fuzzy candidate search, attribute-level candidate assessment, and group creation above a confidence threshold — clustering records that represent the same entity. Configurable per country or region.
Cleaners normalize data before comparison — stripping legal forms, digits, and other noise from a partner name — while comparators measure string similarity with algorithms like Levenshtein and Jaro-Winkler, so matching stays accurate across spelling, abbreviation, and formatting differences.
Continuously supervises your Data Mirror, applying your matching configuration to new and updated records in near real time. Links are added, updated, and retracted as records change — so duplicates are caught as they arise, not in periodic clean-up runs.
Merges a duplicate group into a single golden record in two stages: a binary decision tree with your rules selects the base record, then attributes are combined per configurable enhancement rules — with key attributes protected and unwanted records excluded.
Stores every link between records — status, quality, confidence score, and timestamps — as a traceable record of each detection and consolidation decision. Links can be reviewed, browsed, and manually adjusted, and manual reviews are preserved when configurations change.
Embeds duplicate detection and consolidation directly into your ERP, CRM, and MDM workflows through APIs, centralizing matching logic so the same rules apply consistently across systems and scale to large data volumes.
Deduplication that lasts, because it runs continuously, matches intelligently, and shows its work.
Instead of periodic cleansing that fixes duplicates only temporarily, detection and consolidation are embedded in daily operations — monitoring incoming and updated records to prevent duplication at the source.
Advanced matching algorithms, data normalization, and statistical methods combine with configurable, country-specific rules to identify duplicates with high precision — well beyond static matching tools.
Confidence scores, matching groups, and traceable consolidation rules — all backed by the Link Database — mean every detection and merge decision can be reviewed and audited.
Works alongside Partner Guard, Data Quality Guard, Address Guard, and Relations Guard through headless APIs, aligning deduplicated records with validated, enriched data from across the CDQ network.
From fuzzy candidate search to a consolidated golden record — the same matching logic, applied continuously.

Identify potential duplicates based on specified attribute values using a fuzzy search across your records.
Step 1
Evaluate candidates with statistical classification and attribute-level comparisons — cleaners normalize the data and comparators measure similarity.
Step 2
Cluster duplicates by linking records that meet your confidence threshold, storing every link in the Link Database.
Step 3
Automatically apply the matching process to new and updated records in your Data Mirror, updating and retracting links as records change.
Step 4
Select a base record via a rule-driven decision tree, then merge attributes from the group into a single golden record per your configurable rules.
Step 5What master-data, procurement, finance, and compliance teams ask before adopting Duplicate Guard.
Duplicate Guard is a CDQ service that continuously detects, monitors, and consolidates duplicate business partner records into a single trusted golden record. It uses advanced matching algorithms and configurable rules to identify duplicates with high precision, catches them as records are created or changed, and merges matched records so you have one authoritative view of each partner across all systems.
It is built for enterprise master-data and governance leads who need one authoritative record per partner, procurement teams preventing vendor fragmentation and duplicate purchase orders, finance teams avoiding double billing and duplicate payments, and compliance teams running AML, KYC, and sanctions screening against unified records. Data science and integration teams use it to supply deduplicated datasets and embed matching via API.
Duplicate Guard is headless: it embeds duplicate detection and consolidation directly into your ERP, CRM, and MDM workflows — including SAP MDG — through APIs. Matching logic is centralized so the same rules apply consistently across every connected system, and it scales to large data volumes. It also complements the other CDQ Guards — Partner Guard, Data Quality Guard, Address Guard, and Relations Guard.
Every match and consolidation decision is transparent and traceable. Confidence scores, matching groups, and rule-driven consolidation are all backed by the Link Database, which records status, quality, and timestamps for each link. Links can be reviewed, browsed, and manually adjusted — and manually reviewed links are preserved when configurations change — so nothing is merged beyond the rules and reviews you set.
Conventional cleansing projects deliver only a temporary fix. Duplicate Guard embeds detection and consolidation into your daily operations and monitors incoming and updated records to prevent duplication at the source, so the improvement lasts. Records are also aligned with validated, enriched data from across the CDQ network.
Book a demo with a CDQ expert. We will show Duplicate Guard working, discuss your matching and consolidation rules by country or region, and map out how it fits your existing ERP, CRM, and MDM landscape.
Book a demo
Book a demo with a CDQ expert and we will walk through how continuous matching, monitoring, and consolidation would work for your business partner records — and how to start.
Pick a 30-minute slot — see Duplicate Guard working on your own data.