Standardization and reformatting processing
(gender and reformatting)
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).
Reformatting other information
- Telephone number
- Email addresses
- Gender appending via our international first names table
International (240+ countries worldwide)
Service bureau / One shot mode
Saas : automated processing in batch mode
Transactional mode / web service
- Postal cleansing
- Black lists / do-not-mail lists
- Movers identification
- B2B & B2C data appending