DATA QUALITY

Les enjeux de la Data Quality

Postal data cleaning France & International

Which stakes ?

Address cleaning is an arduous and complex task, all the more difficult as there is no single system for all countries.

Moreover, postal references evolve over time and are regularly updated by postal organisations (e.g. 200,000 changes in FR / year).

In addition, the different points of collection of your data can generate data capture errors (web forms, call center, etc...) and make your addresses difficult to exploit, resulting in undelivered mail, less effective marketing campaigns, a decrease in quality in the relationship with your customers.

Our Solutions

Nos solutions sont basées sur les référentiels postaux officiels de +190 pays dans le monde, et permettent la validation, correction, l’identification des erreurs de vos adresses, pour une mise en conformité avec les règles locales et ainsi améliorer la qualité de vos données.

Nos outils prennent en compte tout type d’alphabets (romain, cyrillique, kanji/Katakana, etc…), avec possibilité de translitération d’un alphabet à l’autre.

An asset for your data

- Postal standardization (RNVP) is the basis for a data quality strategy, with regular updating of your addresses.

- Optimization of deduplication, data enrichment, and your communication campaigns in general.

- Improved relationship with your customers and prospects and a better brand image for your company.

- Processing in preventive mode to anticipate errors upstream and avoid them at the moment the data is captured.

- Curative processing, allowing you to standardize and correct existing data in your databases.

Geographical scope

France

International (+190 pays dans le monde)

Management of local alphabets (Japanese, Cyrillic, Korean, etc. ...)

Implementation

Service bureau / One shot mode

Saas : automated processing in batch mode

Transactional mode / web service

Licence on premise

 

Standardization and reformatting processing

Which stakes ?

Today's data is collected through multiple channels and touch points, resulting in an increased risk of different formats for the same information. 

Thus, the aim of data standardization is to ensure optimal interoperability of data with each other, for marketing and customer knowledge purposes.

By homogenizing the collected data, standardization processing improves the quality of the data, especially prior data cleaning, data profiling and data matching activities.>/span>

In addition, you will optimise the relationship with your customers by addressing them with the gender associated with their first name (see Roger vs. Roger).>/span>

Our Solutions

Reformatting other information 

Phone

Email 

- Gender appending via our international first names table

Enrichissement des canaux de communication (téléphone  & email)

Geographical scope

International (+190 pays dans le monde)

Implementation

Service bureau / One shot mode

Saas : automated processing in batch mode

Transactional mode / web service

DEDUPLICATION

Which stakes ?

The data of your customers and prospects can come from different internal systems, or be multiple within your base, due to the different collection channels that have been set up. 

This dissemination of information does not allow you to have a unified vision of your customers and prospects, and generates operational difficulties and has direct impacts on your communication campaigns: 

- Sending duplicate messages. 

- Pollution of your databases with multiple contacts. 

- Dispersal of information within your internal systems.

Our Solutions

This phase necessarily follows postal standardization and data standardization. 

Its purpose is to compare data coming from one same source, or from several sources.). 

Different levels of deduplication, depending of the intended purpose : 

- B2C : Deduplication based on household level or on individual level.

- B2B : Deduplication based on company level, or contact level.

– Prise en compte de fichiers multi-sources et des bases repoussoirs (do not mail, black list …)

For an identified family of duplicates, it is possible to determine the "master" record to be kept according to your own criteria, such as recency, collection channel, turnover, etc..

This "Golden Record" may be then enriched with information contained in the other records present in his group/family. 

An asset for your data

It's an essential processing for : 

- maintaining a positive brand image by managing marketing pressure and not sending the same message to the recipient multiple times.

Reduce mailing costs during a marketing campaign and control your budget.

- have a global vision of your customers by grouping / merging the information in your databases for a unique information (Master Data management) 

optimize customer management for multi-channel operations

- allow better enrichment for improved customer knowledge and cross-selling optimization.

Geographical scope

France

International (+190 pays dans le monde)

Management of local alphabets (Japanese, Cyrillic, Korean, etc. ...)

Implementation

Service bureau / One shot mode

Saas : automated processing in batch mode

Transactional mode / web service

Licence on premise

en_GBEnglish (UK)

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