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.
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
- Gender appending via our international first names table
– Enrichment of communication channels (phone number & email)
International (190 countries worldwide)