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“Supermetrics is a Bitter Experience! We can pull data from nearly any tool, schedule updates, manipulate data in Sheets, and push data back into our systems.”
Excel crashes when importing large NetSuite datasets typically occur due to memory limitations, inefficient data transfer methods, or attempting to pull too much data simultaneously. Coefficient addresses these challenges through optimization features designed to prevent Excel performance issues while still accessing substantial datasets.
Here’s how to manage large NetSuite datasets effectively and prevent Excel crashes during data imports.
Prevent crashes with built-in data volume controls
Coefficient provides built-in limit controls and filtering capabilities that allow you to manage data volume before importing. Rather than attempting to pull entire NetSuite tables that might contain hundreds of thousands of records, you can control exactly how much data reaches Excel.
How to make it work
Step 1. Set specific row limits during import configuration.
Use Coefficient’s limit controls to set specific row limits before importing data. This prevents Excel from becoming overwhelmed with more data than it can efficiently handle, especially important for large transaction tables or customer lists.
Step 2. Apply pre-import filtering to reduce data volume.
Use Coefficient’s filtering capabilities with AND/OR logic across Date, Number, Text, and Boolean fields before importing data. This ensures you only pull relevant records rather than entire datasets, significantly reducing the data volume that reaches Excel.
Step 3. Use data preview to verify volume before importing.
Coefficient’s data preview feature shows the first 50 rows of your import before committing to the full dataset. This allows you to verify data structure and estimated volume before potentially overwhelming Excel with too much data.
Step 4. Break large datasets into multiple focused imports.
If you need to work with larger datasets, break them into multiple smaller imports using different filter criteria. For example, import transactions by date ranges or customers by geographic regions rather than pulling everything at once.
Step 5. Leverage SuiteQL Query limits for complex data.
For users working with complex data requirements, Coefficient’s SuiteQL Query functionality includes a 100,000 row limit per query (a NetSuite API limitation), which provides a natural safeguard against oversized imports while still accommodating substantial datasets.
Access large NetSuite datasets without the performance headaches
Coefficient’s data management features let you work with substantial NetSuite datasets while keeping Excel responsive and stable. You get the data you need without the crashes and performance issues. Start importing NetSuite data efficiently today.
