Specialized Analytics
Direct expertise migrating NetSuite SuiteAnalytics workloads into Microsoft Fabric SQL Warehouse and Power BI. AP, AR, GL, Revenue, Inventory. Stop fighting NetSuite's saved searches for executive reporting.
Get a NetSuite analytics assessment// what i deliver
Most NetSuite users eventually outgrow Saved Searches and SuiteAnalytics Workbooks. Microsoft Fabric gives you a full SQL Warehouse for cross-system joins (NetSuite + Dayforce + others), Power BI on top for executive dashboards, scheduled refreshes that don't burden NetSuite, and proper row-level security.
// how it works
PHASE 1
Map current NetSuite Saved Searches and Workbooks. Identify cross-system join needs (Dayforce, Salesforce, etc).
PHASE 2
Fabric SQL Warehouse schema, stored procedures, incremental loads, scheduled refreshes.
PHASE 3
Semantic model, DAX measures, executive dashboards, row-level security.
// stack
Microsoft Fabric · SQL Warehouse · Notebooks · Data Functions (Python UDFs) · NetSuite SuiteAnalytics · NetSuite SuiteQL · Dayforce · Salesforce · Power BI · DAX · Power Query M
// example project
NetSuite + Microsoft Fabric · Production deployment
Linking NetSuite Vendor Payments to Vendor Bills via the netsuite_nexttransactionlinelink and netsuite_previoustransactionlinelink tables is a notoriously tricky JOIN. We've built this pattern for multiple clients, including a full Cash Disbursement dashboard for Account 10020 that finance now uses as the system of record. The pattern handles NULLs, duplicate lines, and multi-currency edge cases that the default SuiteAnalytics view silently breaks on.
// faq
Both work. Fabric is more cost-effective for most mid-market NetSuite clients because the compute scales with usage. We recommend based on your scale and existing Microsoft licensing.
No — data extracts run off-hours, no impact on production NetSuite. SuiteAnalytics Connect throttling is respected.
Yes. Multi-system data warehouse is the typical use case — most clients want NetSuite financial data joined with Dayforce headcount / Salesforce pipeline.
Initial production-ready warehouse: 6-10 weeks depending on the number of dimensions/facts needed. Incremental additions after that run 1-3 weeks each.
30 minutes. No sales pitch. Just an honest conversation about whether we're a fit and how I'd approach your problem.
Book a discovery call Email me