Connector Database / Microsoft Dynamics
Analyze your Microsoft Dynamics data with AI
Build interactive dashboards, generate automated reports, and unlock business intelligence insights from your Microsoft Dynamics data with AI-powered assistant.
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Start with a question
Generate automated reports and business intelligence insights from your Microsoft Dynamics data—as fast as you can ask them.
Build dashboards and data visualizations
Transform your conversation into dynamic data visualizations on an intuitive data canvas.
Integrate all your data
Unify your Microsoft Dynamics data with DuckDB-powered data warehouse including MongoDB, Google Analytics and Google Sheets.
Available Microsoft Dynamics Data
Extracts ERP data from Microsoft Dynamics 365 Business Central, including company profiles, products/items, vendors, purchasing and payments, sales orders and invoices (with line items), chart of accounts, general ledger entries with dimensions, and dimensional metadata. This enables analysis of revenue and invoicing, AP/AR, vendor spend, inventory and product performance, financial postings, and dimensional reporting.
Company
Represents an operating company within the tenant; used to scope data, compare subsidiaries, and manage currency and fiscal settings for consolidated reporting.
Account
The chart of accounts that classifies financial postings; enables financial statement mapping, account rollups, and KPI groupings.
General Ledger Entry
Line-level financial postings with debit/credit amounts and applied dimensions; foundation for P&L, balance sheet, trial balance, and dimensional analysis.
Financial Dimension
Definitions and values for segmenting transactions, plus their application on entries; enables slicing financials by department, project, region, or custom hierarchies.
Sales Order
Customer orders with header and line items; supports backlog tracking, order-to-cash cycle time, fulfillment status, and conversion to invoices.
Sales Invoice
Issued sales invoices and line items; enables revenue reporting, AR aging, average invoice value, tax analysis, and sales by item or dimension.
Purchase Invoice
Vendor AP invoices with header and line items; supports spend analysis by vendor or account, accruals, AP aging, and cost of goods purchased.
Vendor
Supplier master data with identifiers, balances, and aggregated spend; used for vendor performance, concentration risk, and payment behavior analysis.
Vendor Payment
Payment batches and lines applied to vendor invoices; enables cash outflow tracking, DPO, discount capture, and settlement reconciliation.
Item
Product and item master data with pricing and inventory attributes; supports revenue by product, inventory valuation, and product performance analysis.
Location
Warehouses and operational locations; supports inventory and fulfillment metrics by site or region.
Payment Term
Definitions for due dates and cash discounts; used to model AR/AP due dates, measure DSO/DPO, and analyze discount capture.
Authentication Required
Connects securely via Microsoft Azure AD OAuth using your client ID, client secret, and a refresh token to obtain an access token
Getting started with
Microsoft Dynamics Analytics & Business Intelligence
Connect your Microsoft Dynamics data
Connect to Microsoft Dynamics once and automatically sync data to your centralized data warehouse for real-time reporting and analytics.
Build business intelligence models
Create automated reports, dashboards, and data visualizations with customizable business logic and AI-powered insights for consistent analytics across your organization.
Generate reports and insights
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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Microsoft Dynamics usersDefinite
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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