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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.”
NetSuite saved searches become increasingly slow with multi-entity reporting because they must process complex criteria across multiple subsidiaries, often resulting in timeout errors and poor user experience that impacts daily operations.
Here’s how to replace slow saved searches with faster alternatives that deliver the same multi-entity data in seconds instead of minutes.
Replace slow saved searches with optimized API-based data extraction using Coefficient
Coefficient provides a more efficient alternative to slow NetSuite saved searches through its SuiteQL Query functionality and direct Records & Lists imports. The key performance improvement comes from Coefficient’s RESTlet-based API connection, which processes data requests more efficiently than NetSuite’s web-based saved search interface.
You can extract the same multi-entity data that would take minutes in a saved search in seconds through Coefficient, then perform your reporting and analysis in spreadsheets.
How to make it work
Step 1. Replace complex saved searches with optimized SuiteQL queries.
Write custom SuiteQL queries that use proper indexing and field selection to minimize processing time. These queries can handle complex multi-entity scenarios with joins and filtering logic that would bog down traditional saved searches, processing up to 100,000 rows efficiently.
Step 2. Use Records & Lists imports with strategic filtering.
Extract specific subsidiary data using Records & Lists imports with targeted filtering by entity, date ranges, or transaction types. This approach eliminates the overhead of saved search formatting and display logic that contributes to slow execution times.
Step 3. Import existing saved searches through Coefficient for faster processing.
If you have existing saved searches that work but run slowly, import them through Coefficient’s Saved Searches method. The API-based extraction will be faster than running them through NetSuite’s web interface, and you can leverage spreadsheet processing for quicker analysis.
Step 4. Create separate imports for each entity and consolidate in spreadsheets.
For multi-subsidiary reporting, create individual imports for each entity and consolidate them in spreadsheets. This is often faster than running a single complex saved search across all subsidiaries and gives you more control over the consolidation logic.
Step 5. Schedule optimized extractions during off-peak hours.
Set up automated refresh schedules (hourly, daily, or weekly) to run during low-usage periods. This ensures reports are ready when needed without impacting system performance during business hours.
Eliminate saved search bottlenecks
This approach transforms frustrating multi-entity reporting from a slow, unreliable process into fast, automated workflows. Get started with optimized data extraction that delivers the insights you need without the wait.
