Data Types
In lead mapping, various data types are used to categorize and describe the format and structure of the data being collected or mapped. These data types help define how data is stored, processed, and manipulated within systems or applications. Here are some common data types used in lead mapping:
String (Text):
Description: A sequence of characters, such as letters, numbers, symbols, or whitespace.
Examples: Names, addresses, email addresses, phone numbers, job titles, descriptions, comments.
Number (Integer, Float, Decimal):
Description: Numeric values representing whole numbers (integers) or numbers with decimal points (floats or decimals).
Examples: Age, income, quantities, prices, percentages, scores, ratings, IDs.
Boolean (True/False):
Description: A data type with only two possible values: true or false.
Examples: Yes/no answers, binary choices, checkboxes, preferences, flags, status indicators.
Date (Datetime, Timestamp):
Description: A specific point in time or a range of time.
Examples: Birthdates, registration dates, event dates, deadlines, durations, appointment times.
Enumeration (Enum):
Description: A predefined set of values that represent a specific category or option.
Examples: Gender (male, female, other), marital status (single, married, divorced), product categories, industry types.
These data types provide a framework for categorizing and structuring data in lead mapping processes, allowing organizations to effectively collect, store, process, and analyze lead information according to its nature and characteristics.