Most ERPNext teams hit the same wall when leadership asks for a single, trustworthy dashboard: ERPNext's built-in Report Builder, Query Reports, and Dashboard Charts are excellent for operational lists, but they were never meant to be a full BI layer. Analysts end up exporting DocTypes to CSV, hand-stitching GL Entry, Sales Invoice, and Sales Order in a spreadsheet, and rebuilding the same model every month. The moment someone needs blended finance-and-sales metrics, historical trend, or per-branch access control in Power BI, native ERPNext runs out of road — and pointing Power BI straight at the MariaDB tab* tables is brittle, insecure, and breaks on the next schema change.

The ERPNext Power BI Connector closes that gap. It is a proper Frappe app (its own module, DocTypes, and hooks.py) that exposes governed, analytics-ready data to Power BI through whitelisted REST endpoints rather than raw database access. We ship two feed modes: a paginated REST pull for Import/scheduled-refresh datasets, and a DirectQuery-style feed backed by whitelisted server methods (@frappe.whitelist()) for near-live querying. On top of the feeds we deliver prebuilt semantic models for finance (General Ledger, P&L, balance-sheet building blocks, AR/AP aging) and sales (orders, invoices, item and customer analysis), with the DAX measures, star-schema relationships, and date dimension already wired in your .pbix.

Technically, the app maps ERPNext DocTypes to clean analytics tables, adds server scripts and doc_events hooks so incremental/change tracking stays accurate, and enforces Frappe's permission model on every request — the connector honors User Permissions and role profiles, so a Company- or Territory-scoped user only ever pulls the rows they are allowed to see. That same boundary drives Power BI row-level security (RLS): we map ERPNext roles and dimensions to RLS roles so one published report serves head office and regional managers safely. Scheduled refresh is handled with Frappe scheduler_events and token/API-key authentication, so datasets refresh on cron without a human exporting anything. Everything targets Frappe/ERPNext v15 and v16.

Because this is build-to-order, we do not hand you a generic marketplace download and wish you luck. After a short scoping call we confirm exactly which DocTypes, custom fields, companies, and dimensions matter to you, then build and test your version against a copy of your data. Typical delivery is one working week from confirmed scope. You receive installable source, install and configuration on your bench, UAT on staging with a rollback plan, documentation, a training session, and a post-go-live support window — plus the git repository so the app is fully yours.