Customer Data
The Customer Table contains details of your Customers. This table has two mandatory fields: customer_id (string) and customer_since (date). You can also add additional data present in your Customer records, which can help improve accuracy of your Models.
The customer_id field is the primary key of this table. Each data record must have a Unique value for this field.
*customer_id
String
e131498
This is the key field, used for Identification of Customers. All values in this field must be Unique.
*customer_since
Date
2010-12-21
Date of first contact with the Customer. This field is vital for future predictions, and every customer should have a value for this field.
customer_gender
String
female Ms. LLC
Gender or Title of the Customer; Used as Categories for Pattern Recognition.
customer_age
Date
1997-06-22
Date of birth of Customer / Date of foundation of Customer company. Missing values are acceptable.
zipcode
String
50676
ZipCode of the Customer.
customer_country
String
France
DE
Country where the Customer is based; Used as Categories for Pattern Recognition.
email_ending
String
gmail.com live.com
Customer's email address provider. If email is mapped to this field, the part before @ is automatically removed; Used as Categories for Pattern Recognition
phone
String
0176 0153
The starting digits of the Customer's phone number; Used as Categories for Pattern Recognition
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