TABLE OF CONTENTS
When creating a product data model, it is important that you achieve the following objectives:
Ensure you have fields for all the data needed.
Ensure you have fields to achieve your team’s goals.
Ensure the data that will be imported is quality data.
This is the Znode best practice for creating a data model.
Part 1: Defining the Data Model
Gather Existing Data - First step is to get all the data you can to identify the fields that are used.
Model Data for Znode - Work with the team to identify what each field is used for, and if any fields need to be removed or added.
Define Attribute Hierarchy - Once you have all the fields identified, determine how to organize the product attributes into Groups and Families.
Part 2: Uploading Initial Data
Export Mass Data - Get a full export of data for the current systems.
Clean and Organize Data - Ensure the data is cleansed and well organized. This is the most crucial step to ensure you have the best data you can.
Load Data into Templates - Use the Znode Import template to prepare the data for import.
Upload Data - Use the Znode Import tool to import the data into the PIM.