MDM Booster AI function
Duplicate detection: recognize and clean up duplicates
- Cost reduction: avoidance of redundant activities
- Better decisions: Through a uniform and correct database
- More efficient processes: Processes / workflows can run much more efficiently
- Customer satisfaction: avoidance of errors due to duplicate master data records
- Compliance security: Easier compliance with regulatory and internal requirements.
Duplicate detection (Duplicate Detection)
Duplicate detection is an automated process for identifying and removing duplicate entries in databases, ERP or CRM systems, for example. Using artificial intelligence (AI) or distance-based algorithms, similar data records and content are recognized across languages – including deviations, e.g. due to typing errors or different spellings, as well as abbreviations.
The challenge: Duplicates distort data and cause errors
As the amount of data increases, so does the number of duplicate or incorrect entries. These duplicates are often caused by manual entries, missing system reconciliations or imports from different sources.
CRM, ERP and MDM systems, in which duplicate entries have a negative impact on customer service, invoicing and master data management, are particularly affected.
- High effort: Manually searching for and cleaning up duplicate entries costs time and resources.
- Unreliable data: Missing reconciliations lead to faulty analyses and incorrect reports.
- Wrong decisions: Due to inaccurate or contradictory data
- Lost efficiency: Redundant data records make workflows and system integration more difficult.
MDM Booster
Automatically identify and clean up duplicate data
By using advanced AI algorithms, the MDM Booster can detect and merge duplicates in your data in real time. With minimal effort, you can achieve a uniform overview of your customer, supplier and product information as well as possible duplicates.
Automatic and self-learning: detection of duplicates using artificial intelligence
The MDM Booster analyzes large volumes of data fully automatically and reliably detects duplicate entries. Thanks to self-learning systems, there is no need to manually check or maintain complex sets of rules.
✔ Avoid subsequent errors caused by duplicate data quickly and easily
✔ Abbreviations and synonyms are easily recognized
✔ Cross-language recognition of duplicates (e.g. street and road)
Seamless integration into existing systems
Thanks to open interfaces, the MDM Booster can be easily integrated into existing MDM, ERP, PIM or CRM systems. Standard formats such as SQL, CSV, Excel, OpenAPI and S3 are supported, ensuring smooth data cleansing and synchronization across different systems.
Individual AI models for customized duplicate detection
With the MDM Booster AI models can be trained specifically for company-specific requirements – without AI expertise. Complex processes for matching duplicates can be optimized quickly, easily and efficiently with the MDM Booster.
With the MDM Booster’s AI-supported duplicate detection, companies increase data quality, reduce manual effort and create a reliable basis for data-based decisions.
Typical examples of duplicate detection
The MDM Booster easily recognizes duplicates within one or a multitude of data sources from different systems.
Accounting and financial data
Field of application: Accounting, Controlling, Finance department
Invoices or payments can be saved multiple times in the system, for example by entering the same receipt twice.
This can lead to payment errors, double debits or delays.
Example:
A company recognizes that an invoice has been posted twice by mistake. Duplicate detection prevents duplicate outgoing payments.
Personnel and applicant data
Field of application: HR, recruiting, talent management
Applicants can exist more than once in the system due to different spellings.
Employee master data can be entered twice due to name changes or different e-mail addresses.
Example:
The HR department discovers that an applicant has been entered in the system several times with different names. The duplicate recognition cleans up the data records.
E-mail and contact details
Area of application: Marketing, customer service, support
Customers or partners can be in the system twice with different email addresses or telephone numbers.
This leads to duplicate email campaigns, unclear support tickets or inefficient customer contact.
Example:
A marketing team recognizes that a customer has two different email addresses and receives multiple newsletters. The duplicate detection merges the data records.
Example of duplicate detection with the MDM Booster
Duplicate detection and scoring
The interactive analysis allows you to determine and recognize duplicates at any time with minimal effort and without AI expertise. The potential duplicates are assigned to groups. The golden record and methods for merging the information are then defined or the data is exported to Excel, your database, etc.
Customer data
Area of application: CRM, sales, marketing, customer service
- Customers may be entered several times with slightly different names or addresses (e.g. “Max Mustermann” and “M. Mustermann”).
- Duplicate customer data records lead to problems with invoicing or goods delivery, duplicate advertising emails or challenges in the area of GDPR.
Supplier data
Field of application: Purchasing, logistics, supplier management
Suppliers can be entered twice with different spellings or multiple addresses.
Multiple entries cause problems with orders, payments and the evaluation of supplier services.
Example:
A company discovers that the supplier “ABC GmbH” also exists in the system as “ABC Handelsgesellschaft”. The MDM Booster’s duplicate detection recognizes the duplicate in the supplier master and merges them if required.
Product and material master data
Area of application: ERP, PIM, warehouse management, production
Articles or materials were created several times with varying designations (e.g. “M10 screw” and “M10 screw”).
Example:
The MDM Booster’s duplicate detection identifies similar items and thus supports optimal stock management.
Duplicate detection for SAP ECC and SAP S/4HANA
The duplicate checks are integrated into your SAP workflows via the OpenAPI interface. Alternatively, you can easily export and import your data using CSV files or Excel files, e.g. as part of a migration. The question is no longer whether AI or classic rules, but how you and your company want to work in the future.
Use cases "Find and remove duplicates"
Duplicate material or product master data can lead to problems with procurement, under- or over-coverage or customs problems. The MDM Booster supports you in merging redundant data records, homogenizing inventory data and preventing new duplicates.
Mergers, system changes or the merging of data from multiple sources often result in duplicates. The MDM Booster supports you in filling consolidated and homogenized target systems quickly, easily and efficiently.
Duplicates in the customer database can lead to inefficient campaigns and increased costs. Clean up your database with the MDM Booster and individual AI models to minimize wastage and improve the success of your campaigns.
Duplicates harbor the risk of data protection violations (e.g. contradictory information on opt-in, opt-out). The MDM Booster supports you in creating a clean database and ensuring compliance with guidelines such as the GDPR.
The benefits of CRM and ERP systems are often impaired by duplicates in business partners, article master data or financial data. The MDM Booster supports you in the automated identification of duplicates using artificial intelligence, cleansing and merging.
Demo date
Interested in a simple, permanent and efficient clean-up of your duplicates? With the MDM Booster a powerful AI software with which duplicates can be optimally identified.
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