STANDARDIZATION AND REFORMATTING PROCESSING

Pourquoi standardiser et reformater vos données ?

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.

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).

Our Solutions

Reformatting other information 

Phone

Email 

- Gender appending via our international first names table

Enrichment of communication channels (phone number & email)

Geographical scope

France 

International (190 countries worldwide)

Implementation

Service bureau / One shot mode

Saas : automated processing in batch mode

Transactional mode / web service

en_GB

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