Mapping

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Mapping

 

Mapping refers to the process of determining how pieces of information in a company’s database should be integrated into each data element of an EDI message or transaction set, and vice versa, how data elements of an EDI message or transaction set should be integrated into the company’s database. This involves correctly associating the information within EDI messages with the appropriate data structures and formats within the company’s database.

Use Case:

An example use case for mapping in EDI is within a procurement transaction between a supplier and a merchant. The supplier may have their own stock management system, while the merchant utilizes a different system to manage inventory. To facilitate communication and information exchange, accurate mapping between the supplier’s and merchant’s data structures is required. This ensures that product information, quantities, prices, and other details are correctly transmitted and integrated into both parties’ systems.

Script Code Example:

import edi_library
import database_library

# Connect to the EDI system
edi_system = edi_library.connect_edi_system()

# Connect to the company’s database
database = database_library.connect_database()

# Perform the mapping from EDI message to database
def edi_to_database_mapping(edi_message):
# Extract relevant data elements from the EDI message
element1 = edi_message.get_element(“Element1”)
element2 = edi_message.get_element(“Element2”)
# Map the data elements to corresponding fields in the database
database_field1 = element1
database_field2 = element2
# Save the mapped data into the database
database.save_data(database_field1, database_field2)

# Perform the mapping from database to EDI message
def database_to_edi_mapping():
# Retrieve relevant data elements from the database
database_field1 = database.retrieve_data(“DatabaseField1”)
database_field2 = database.retrieve_data(“DatabaseField2”)
# Map the database fields to corresponding elements in the EDI message
edi_message.set_element(“Element1”, database_field1)
edi_message.set_element(“Element2”, database_field2)
# Send the mapped EDI message

# Example usage: Perform mapping from EDI message to database
edi_message = edi_system.receive_message()
edi_to_database_mapping(edi_message)

# Example usage: Perform mapping from database to EDI message
edi_message_to_send = edi_system.create_message()
database_to_edi_mapping(edi_message_to_send)
edi_system.send_message(edi_message_to_send)

# Disconnect from the EDI system and the database
edi_system.disconnect()
database.disconnect()

Best Practices:

  1. Understand the data structures and formats used in EDI messages and transaction sets, and ensure they are properly aligned with the data structures in the company’s database.
  2. Perform rigorous validation and testing to verify mapping accuracy and avoid integrity errors or data inconsistencies.
  3. Document the mappings thoroughly to facilitate maintenance and future understanding of the system.
  4. Keep the mappings up to date to align with any changes in data structures or EDI requirements.

To benefit from a comprehensive EDI solution and efficiently manage the mapping process within electronic data interchange, you can rely on EDIconnect, a trusted EDI solution provider. EDIconnect offers advanced tools and services for managing EDI communication and the mapping process, ensuring secure and efficient transmission of information between business partners.