Duplicates

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Data quality

Duplicates

Real-time preexistence search
Deletion and merging of duplicates contained in the database

Preexistence search to avoid the creation of a duplicate

Delete and merge duplicates

Real time

CAP MATCH

Solution for identifying an existing customer record to avoid creating duplicates from your collection points (point-of-sale software, website, CRM/ERP, etc.)

Process

CAP MATCH will allow users to quickly and easily find existing customer records (by entering the information of their choice) to avoid creating duplicates

The key steps of the preexistence search with CAP MATCH

Entering a few pieces of information
then validating to see if there is one or more match(es)
Identify existing customer contact details
in the database and display proposals closer to the items entered
Result:
If a match is found: the user verifies that the contact is indeed the one in question, and accesses the file in real time to validate, update, complete or delete obsolete information.
If no match is returned (meaning that the customer is not present in the database), a new customer record can be safely created.

Partner connectors available for quick integration time

Batch mode

CAP DEDUP

Identifying, deleting and merging duplicates in the database

Operating

CAP DEDUP enables you to identify and merge duplicates contained in your database via deduplication (operations carried out on a single file) and/or deduplication (operations carried out on several files).

The different types of processing offered by CAP DEDUP :
HOUSEHOLD processing: Gathers all members of the same household.
INDIVIDUAL processing: Gathers all similar individuals.
CORPORATE NAME processing: Gathers all similar corporate names.
CORPORATE NAME WITH CONTACTS processing: Gathers all similar people from the same company.

The benefits of our duplicate identification modules

Advanced features

Phonetic/dyslexic support, field cross-referencing and locality search, even if the postal code entered is incorrect

Hollow words management

(generic word to be removed during processing…)

Merging

No restrictions on the number of fields, history of enrichment performed, analysis of information validity before enrichment

GDPR compliant

All our solutions comply with current standards

The benefits of our duplicate identification solutions

Cost reduction

one mailing per target, reducing the need for manual database updates

Enhancing the company's image

customers/prospects reached once by marketing campaigns

No loss of information

following deduplication operations

Optimizing your MDM project

thanks to qualified and standardized data

Cyrillus

Cyrillus chose Capency for the standardization of the postal address in real time on the Y2 form and to correct the information collected in the database.

Success Stories

Discover how Capency supports businesses in their data quality challenges. We share their stories with you through these case studies

Wesco

In order to improve the data used for sending packages or mailing campaigns, Capency supports Wesco in preventive and curative measures.

Success Stories

Discover how Capency supports businesses in their data quality challenges. We share their stories with you through these case studies

Legrand

Since 2020, Capency has supported Legrand in its data quality strategy with the objective of: a reliability rate of more than 95% of data on a database comprising more than 300,000 companies.

Success Stories

Discover how Capency supports businesses in their data quality challenges. We share their stories with you through these case studies

Madura

To reconcile the web and retail databases and consolidate all customer information, Madura has chosen to deploy Capency curative solutions.

Success Stories

Discover how Capency supports businesses in their data quality challenges. We share their stories with you through these case studies

JustFab

The autocompletion modules simplify and shorten the account creation process. As a result, JustFab has observed a decrease in cart abandonment thanks to Capency.

Success Stories

Discover how Capency supports businesses in their data quality challenges. We share their stories with you through these case studies

Bonprix

Bonprix has chosen Capency to standardize postal addresses before entering them into the database, process existing data to avoid “NPAI” (N’habite Pas à l’Adresse Indiquée) or “PND” (Plis Non Distribuables) issues, and eliminate duplicates.

Success Stories

Discover how Capency supports businesses in their data quality challenges. We share their stories with you through these case studies

Bureau vallée

In addition to ensuring the quality of data collected in-store, Capency solutions provide significant time savings for the sales teams. Bureau Vallée can now work with reliable and up-to-date data, leading to improved efficiency and customer service.

Success Stories

Discover how Capency supports businesses in their data quality challenges. We share their stories with you through these case studies

Lolaliza

With Capency, LolaLiza controls its emails in real-time from its collection points store + web) and processes its database to improve deliverability rates and prevent the creation of duplicates.

Success Stories

Discover how Capency supports businesses in their data quality challenges. We share their stories with you through these case studies

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