Building Reusable CSV Import Templates: A Guide to Consistent Data Imports
Building Reusable CSV Import Templates: A Guide to Consistent Data Imports
Building Reusable CSV Import Templates: A Guide to Consistent Data Imports
This guide provides a fact-checked and expanded strategy for creating saved import maps and master CSV templates to streamline your import processes.
This guide provides a fact-checked and expanded strategy for creating saved import maps and master CSV templates to streamline your import processes.
This guide provides a fact-checked and expanded strategy for creating saved import maps and master CSV templates to streamline your import processes.
8 min read
Manually mapping fields in the NetSuite CSV Import Assistant is not only time-consuming but also introduces a significant risk of error and inconsistency. The key to efficient and reliable data imports is to map once and reuse forever. This guide provides a fact-checked and expanded strategy for creating saved import maps and master CSV templates to streamline your import processes.
The Core Components of a Reusable Template
A robust import process relies on two key assets working in tandem:
Saved Import Map: A saved configuration within NetSuite that remembers how your CSV columns map to NetSuite fields, including the reference types (Internal ID, External ID, Name) and default values.
Master CSV Template: An external spreadsheet file that serves as the starting point for every import. It has the correct column headers, data formatting examples, and instructions for the user.
Step 1: Creating the Saved Import Map
First, you must perform the import manually one last time to create the saved map.
Begin a new import by navigating to Setup > Import/Export > Import CSV Records.
Select the Record Type, Import Type (Add, Update, or Add/Update), and upload a well-structured sample of your CSV file.
On the Field Mapping page, carefully map each column from your CSV file to the corresponding field in NetSuite.
Before you run the import, click the Save Mapping & Start Import button (or a similar option like "Save As").
Give the mapping a descriptive name that follows a clear naming convention.
Naming Convention for Saved Maps
A consistent naming pattern is crucial for ensuring that users can easily find and use the correct map.
Format: [Record Type] - [Action] - [Specific Use Case]
Example Name | Description |
|---|---|
| For creating new customer records from a lead list. |
| For adding new vendor bills from the accounts payable team. |
| For updating the pricing on existing inventory items. |
Step 2: Building the Master CSV Template
Your saved map is only half of the solution. You also need a master spreadsheet template that perfectly corresponds to it.
Template Best Practices
Column Headers: The headers in Row 1 must exactly match the columns you mapped in your saved import map. The column order must also be identical.
Sample Data: Include a sample row (Row 2) that demonstrates the correct data format for each column (e.g.,
MM/DD/YYYYfor dates, the correct name for a picklist value).Instructions: Use a third row for notes explaining what each field is, whether it is required, and any other important rules. Instruct users to delete this row before saving the final import file.
Lock Headers: Freeze and protect the header row in your spreadsheet application to prevent accidental modifications.
Storing and Managing Your Templates
Centralized Location: Store your master CSV templates in a shared, accessible location like a SharePoint site, Google Drive, or a designated folder on a network drive.
Version Control: Never overwrite a master template. When a change is needed, create a copy and increment the version number (e.g.,
Vendor Bill Import Template - v2.xlsx). Archive the old version.Change Log: Maintain a simple log that documents the changes made between versions. This is invaluable for troubleshooting.
Technical Considerations
File Format: Always save your final import file as a CSV (Comma-Separated Values) file with UTF-8 encoding to ensure compatibility with special characters.
Data Purity: The CSV file should contain only raw data. Remove any formulas, merged cells, or extra formatting before saving.
Column Order: The CSV Import Assistant often relies on the column position. If you change the order of columns in your CSV file, your saved map will likely fail. The column order in your template must remain consistent.
By investing the time to create a comprehensive set of saved maps and master templates, you can dramatically reduce the time spent on data imports, minimize errors, and ensure a consistent and reliable process for all users.
Manually mapping fields in the NetSuite CSV Import Assistant is not only time-consuming but also introduces a significant risk of error and inconsistency. The key to efficient and reliable data imports is to map once and reuse forever. This guide provides a fact-checked and expanded strategy for creating saved import maps and master CSV templates to streamline your import processes.
The Core Components of a Reusable Template
A robust import process relies on two key assets working in tandem:
Saved Import Map: A saved configuration within NetSuite that remembers how your CSV columns map to NetSuite fields, including the reference types (Internal ID, External ID, Name) and default values.
Master CSV Template: An external spreadsheet file that serves as the starting point for every import. It has the correct column headers, data formatting examples, and instructions for the user.
Step 1: Creating the Saved Import Map
First, you must perform the import manually one last time to create the saved map.
Begin a new import by navigating to Setup > Import/Export > Import CSV Records.
Select the Record Type, Import Type (Add, Update, or Add/Update), and upload a well-structured sample of your CSV file.
On the Field Mapping page, carefully map each column from your CSV file to the corresponding field in NetSuite.
Before you run the import, click the Save Mapping & Start Import button (or a similar option like "Save As").
Give the mapping a descriptive name that follows a clear naming convention.
Naming Convention for Saved Maps
A consistent naming pattern is crucial for ensuring that users can easily find and use the correct map.
Format: [Record Type] - [Action] - [Specific Use Case]
Example Name | Description |
|---|---|
| For creating new customer records from a lead list. |
| For adding new vendor bills from the accounts payable team. |
| For updating the pricing on existing inventory items. |
Step 2: Building the Master CSV Template
Your saved map is only half of the solution. You also need a master spreadsheet template that perfectly corresponds to it.
Template Best Practices
Column Headers: The headers in Row 1 must exactly match the columns you mapped in your saved import map. The column order must also be identical.
Sample Data: Include a sample row (Row 2) that demonstrates the correct data format for each column (e.g.,
MM/DD/YYYYfor dates, the correct name for a picklist value).Instructions: Use a third row for notes explaining what each field is, whether it is required, and any other important rules. Instruct users to delete this row before saving the final import file.
Lock Headers: Freeze and protect the header row in your spreadsheet application to prevent accidental modifications.
Storing and Managing Your Templates
Centralized Location: Store your master CSV templates in a shared, accessible location like a SharePoint site, Google Drive, or a designated folder on a network drive.
Version Control: Never overwrite a master template. When a change is needed, create a copy and increment the version number (e.g.,
Vendor Bill Import Template - v2.xlsx). Archive the old version.Change Log: Maintain a simple log that documents the changes made between versions. This is invaluable for troubleshooting.
Technical Considerations
File Format: Always save your final import file as a CSV (Comma-Separated Values) file with UTF-8 encoding to ensure compatibility with special characters.
Data Purity: The CSV file should contain only raw data. Remove any formulas, merged cells, or extra formatting before saving.
Column Order: The CSV Import Assistant often relies on the column position. If you change the order of columns in your CSV file, your saved map will likely fail. The column order in your template must remain consistent.
By investing the time to create a comprehensive set of saved maps and master templates, you can dramatically reduce the time spent on data imports, minimize errors, and ensure a consistent and reliable process for all users.
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Author


Michael Strong
Michael Strong
Founder & Principal Architect
Founder & Principal Architect
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