Connector Database / NetSuite
Build interactive dashboards, generate automated reports, and unlock business intelligence insights from your NetSuite data with AI-powered assistant.
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Generate automated reports and business intelligence insights from your NetSuite data—as fast as you can ask them.
Transform your conversation into dynamic data visualizations on an intuitive data canvas.
Unify your NetSuite data with DuckDB-powered data warehouse including Zendesk, S3, Salesforce and MySQL.
Extracts core NetSuite ERP master and transactional data via SuiteTalk SOAP, including customers, vendors, accounts, items/inventory, sales orders, purchase orders, invoices, credit memos, journal entries, inventory adjustments/transfers, inbound shipments, projects, bank accounts, locations, classifications, subsidiaries, and tax items. This enables financial reporting (GL, AR/AP), revenue analysis, order-to-cash and procure-to-pay tracking, inventory movement visibility, and master data enrichment.
Represents companies or individuals who purchase from you; enables customer segmentation, AR aging, retention, CLV, and cohort revenue analysis.
Represents suppliers and payees; supports spend analysis, AP aging, vendor concentration, and on-time delivery performance.
Product/SKU master data and attributes; used for product mix, pricing, margin analysis, and inventory valuation.
Inventory adjustments and transfers between locations; enables tracking of inventory accuracy, shrinkage, and inter-warehouse movements.
On-hand quantities and availability by item and location; supports stockout analysis, safety stock planning, and inventory turns.
Customer orders and fulfillment status; drives analysis of bookings, backlog, order cycle times, fill rates, and order-to-cash performance.
Accounts receivable invoices; enables billed revenue reporting, DSO, collections effectiveness, and cash forecasting.
Customer credits and returns; supports analysis of returns rate, revenue adjustments, and churn/root-cause trends.
Procurement commitments and receipts; used for spend analysis, supplier lead times, open PO exposure, and procure-to-pay tracking.
Inbound logistics from vendors to locations; enables receiving performance, lead time, and ASN compliance analysis.
General ledger postings; supports trial balance, P&L/Balance Sheet reporting, consolidations, and audit trails.
Chart of accounts structure; used for financial statement mapping, rollups, and KPI definitions across the GL.
Cash and bank registers and balances; supports cash position reporting, reconciliations, and cash flow analysis.
Jobs/projects with budgets and stages; enables WIP, project profitability, utilization, and revenue recognition analysis.
Warehouses, stores, or operational sites; used for regional performance reporting, inventory by location, and fulfillment routing.
Legal entities for OneWorld deployments; enables consolidated vs. entity-level reporting and currency translation.
Cross-cutting dimensions such as class, department, and category; supports segmented financials and cost allocations.
Tax codes and rates; used for tax calculation, liability reporting, and jurisdiction-level analysis.
Uses NetSuite Token-Based Authentication (consumer key/secret and token key/secret) to connect to the SuiteTalk SOAP API
Connect to NetSuite once and automatically sync data to your centralized data warehouse for real-time reporting and analytics.
Create automated reports, dashboards, and data visualizations with customizable business logic and AI-powered insights for consistent analytics across your organization.
Create interactive dashboards, automated reports, and data visualizations with AI-powered business intelligence. Share live analytics and scheduled reporting with your team.
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People love Definite because it lets you focus on what matters. Setting up your own data infrastructure doesn't make your beer taste better. Skip the tedium and start at analytics.
I was leading the efforts of setting up a business intelligence function. I was surprised how complex this all was to do even today. It's something that every tech company would need at some point but it hasn't been simplified. You need a whole team focused on building a data warehouse, setting up the right pipelines, and then integrating a BI tool on top.Definite wasn't only the answer to this problem, it tackled the next problem I knew I'd have as soon as the BI tool was ready — how do we get non-technical teams and people to learn and utilise such a tool.
Our analytics before Definite consisted of dozens of Excel sheets that took hours to update. Manual updates led to errors. Everyone questioned the accuracy of the numbers. Many people just stopped looking at the reports.After Definite, everything ran like clockwork.We immediately saved thousands of dollars per month in the time spent updating reports and have built strategies (e.g. improved ROI on ad spend, inventory management, etc.) on the data that will yield millions to our bottom line.
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