Combine and Join Tables From Your Netsuite Data – Free Template
Combine and join tables from your Netsuite data without writing a single line of code.
Pull from NetSuite Source 
Combine tables Transform 
Generate your results Output 
Transform your data in five easy steps using Parabola's drag-and-drop interface, powered by AI.
- 1Set up your data source by creating a new Parabola flow and connecting your NetSuite account.
- 2Select the specific records and tables you want to join from your ERP system. Configure any necessary filters or parameters.
- 3Define your join conditions by identifying the common fields between tables. This ensures accurate data relationships.
- 4Use Parabola's transformation tools to create the join operations. This step lets you specify how tables should be combined and what information to include.
- 5Generate your results by previewing the joined data and running your automated flow. Once configured, this process will update automatically.
How to use NetSuite
Parabola's NetSuite integration imports and transforms your business data without any coding required.
- Automatically sync NetSuite data on a scheduled basis
- Transform complex NetSuite data structures into actionable formats
- Combine NetSuite information with other data sources
Retrieving data from NetSuite
Pull your data from NetSuite into Parabola using the Pull from NetSuite step, which connects directly to your NetSuite saved searches and brings your data into your Flow.
Key features
- Connect to any saved search in NetSuite
- Pull data updates on schedule
- Filter data at the source
- Support for all NetSuite record types
How to use
- Add the Pull from NetSuite step to your Flow
- Connect your NetSuite account
- Select the saved search you want to use
- Configure any additional filters or parameters
- Run the step to preview your data
Combine tables
The Combine tables step in Parabola merges data sets from different sources based on matching columns – mirroring the functionality of a vlookup in Excel.
Key features
- Multiple joining methods (inner, left, right, full outer)
- Column matching flexibility
- Automatic data type handling
- Duplicate handling options
How to use
- Add the Combine tables step to your Flow
- Connect the two datasets you'd like to join to the Combine tables step
- Choose the join type
- Map the matching columns
- Specify whether you'd like to match where any values match or all values
- Update results to preview the output and make edits as necessary
Practical use cases and examples
Here are some common scenarios where combining NetSuite data tables yields useful business intelligence.
Customer profitability analysis
Combine customer transaction data with support ticket information to see which customers consume the most resources and how that correlates with their revenue contribution.
Inventory optimization
Join inventory levels with sales history and supplier data to identify reorder points and supply chain bottlenecks.
Sales performance tracking
Merge sales transaction data with employee records and commission structures to build individual and team performance reports.
