Power BI Connector for Magento

اہم خصوصیات

Custom Magento 2 module under app/code/Ecosire/PowerBiConnector with di.xml, service contracts, and admin ACL — no core hacks

Automated ETL: incremental extraction of orders, order items, customers, products, and MSI inventory into BI-flattened datasets

Read-only REST/OData endpoint Power BI consumes via the Web/OData connector with OAuth2 bearer tokens

Prebuilt .pbix dashboards for sales performance, inventory, and customer cohorts delivered with your install

Power BI star-schema data model templates (date, product, customer, store dimensions) you can extend in Power BI Desktop

Scheduled refresh driven by Magento cron with per-entity high-water-mark tracking (changed rows only)

Multi-store / multi-website consolidation tagged by store_id and website_id into one unified report

Optional near-real-time deltas via observers on events like sales_order_save_after

Admin configuration UI under Stores > Configuration with ACL-gated access and token management

Works on both Magento Open Source and Adobe Commerce (on-prem or cloud infrastructure)

Currency, tax, and refund handling reconciled so revenue KPIs match your accounting view

Built, installed on your environment, and supported by ECOSIRE — including a knowledge-transfer handover

آرڈر پر تیار، مکمل طور پر آپ کے لیے

خود سیٹ اپ کی ضرورت نہیں — ایک کام کرنے والی ایپ جو ECOSIRE بناتا، انسٹال اور سپورٹ کرتا ہے۔

آپ آرڈر دیتے ہیں

ایک بار کی تعمیر کی قیمت سے آغاز کریں۔ آغاز پر ہم آپ کے ساتھ مل کر دائرہ کار طے کرتے ہیں۔

ہم بناتے اور انسٹال کرتے ہیں

ECOSIRE اسے آپ کے Magento 2 پر بناتا، ترتیب دیتا اور انسٹال کرتا ہے۔

لائیو + معاونت

آپ تقریباً 2–4 ہفتوں میں لائیو ہو جاتے ہیں، لانچ کے بعد معاونت کی مدت کے ساتھ۔

اس مصنوع کے بارے میں

The Power BI Connector for Magento is a build-to-order Magento 2 / Adobe Commerce extension that turns your storefront into a governed data source for Microsoft Power BI. There is no instant Marketplace download — ECOSIRE builds, installs, and supports the module on your own Magento install, then delivers a .pbix template wired to your data so your finance and BI teams stop hand-exporting CSVs.

Technically, the connector ships as a module under app/code/Ecosire/PowerBiConnector with di.xml virtual types defining each extract, service contracts (Api/ interfaces + Model/ implementations) exposing curated datasets, and a read-optimized REST/OData endpoint Power BI consumes via Web/OData connectors using OAuth2 bearer tokens scoped by admin ACL. We model directly off the catalog, sales_order, sales_order_item, customer_entity, and inventory (MSI inventory_source_item) tables, exposing flattened, BI-friendly views rather than raw EAV — so Power BI doesn't choke on attribute joins.

Incremental extraction runs on Magento cron (configurable groups), tracking high-water marks per entity so each refresh pulls only changed rows. Observers on events like sales_order_save_after can optionally flag near-real-time deltas. For multi-store and multi-website setups, data is tagged by store_id / website_id so the prebuilt Power BI data model consolidates every storefront into one report — with star-schema templates (date, product, customer, store dimensions) you can extend.

Works on Magento Open Source and Adobe Commerce (on-prem or cloud). We honor your existing GraphQL/REST surface and never bypass service contracts or write raw SQL into core tables. You own the code, the dashboards, and the data. Pricing is a one-time build fee; scope, custom KPIs, and refresh cadence are confirmed in a short discovery call before we start.

What you get

Production-ready Magento 2 module (app/code/Ecosire/PowerBiConnector) installed on your Magento instance

Installation on your staging and production environments, including setup:upgrade and cache/DI compilation

Prebuilt Power BI .pbix template file connected to your data model with sales, inventory, and customer dashboards

Documented OData/REST endpoint, OAuth2 token setup, and Power BI gateway/refresh configuration

Cron-based scheduled refresh configured to your chosen cadence

Admin user guide plus a developer README covering di.xml extension points and service contracts

Knowledge-transfer / handover session for your BI and Magento teams

Defined post-launch support and update window

Who this is for

Enterprise BI Lead

Standardizes all cross-system reporting in Power BI and needs Magento data in the same governed model as ERP, CRM, and finance — without analysts re-exporting CSVs every week.

Magento / Adobe Commerce Engineering Manager

Wants store data exposed cleanly through service contracts and a maintainable module under app/code, not brittle direct-DB queries or a black-box SaaS scraper.

Finance & Operations Director

Needs sales, refund, and inventory KPIs that reconcile to accounting, consolidated across multiple stores and websites, refreshed on a reliable schedule.

How Power BI Connector for Magento Compares

Criterion	ECOSIRE	Custom Build	Competitor	Magento 2 نیٹو
Prebuilt Power BI dashboards (.pbix) included	Included	Partial support	Partial support	Not included
Native Magento module (di.xml, service contracts, ACL) — no core hacks	Included	Partial support	Included	Not included
Incremental cron-based extraction (changed rows only)	Included	Partial support	Partial support	Not included
Multi-store / multi-website consolidation out of the box	Included	Partial support	Partial support	Not included
Tailored to your exact KPIs and data model	Included	Included	Not included	Not included
Installed and supported on your instance by the vendor	Included	Partial support	Partial support	Not included
Instant self-service download / trial	Not included	Not included	Included	Not included
You own the source code	Included	Included	Not included	Included

Frequently Asked Questions about Power BI Connector for Magento

How long until it's delivered, and is this an instant download?

No — this is build-to-order, not a Marketplace download. After a short discovery call to confirm your data scope, KPIs, and refresh cadence, typical delivery is around 2-4 weeks depending on the number of custom datasets, multi-store complexity, and your environment access. We install and validate on staging before production, and the timeline is confirmed in writing before work begins.

Do you provide ongoing support and updates?

Yes. Because ECOSIRE builds and installs the module on your own Magento instance, we include a defined post-launch support window for bug fixes and compatibility with Magento patch releases. Because you own the code, you can also maintain it yourself or extend the dashboards in Power BI Desktop. Longer-term maintenance and Magento/Adobe Commerce major-version upgrade support are available as a separate agreement.

Does it work with both Magento Open Source and Adobe Commerce?

Yes. The module is built against standard Magento 2 framework APIs — service contracts, di.xml, cron, observers, and ACL — so it runs on Magento Open Source and Adobe Commerce, on-prem or cloud. Adobe Commerce B2B tables and shared catalog data can be included in scope if you use them.

Will it slow down my store or read raw database tables directly?

Extraction runs on Magento cron against read-optimized, flattened datasets exposed through service contracts — not heavy live queries on the storefront request path. We track high-water marks per entity so each refresh pulls only changed rows, and we never write raw SQL into core tables or bypass Magento's data layer.

How does Power BI actually connect and refresh?

The module exposes a secured read-only REST/OData endpoint that Power BI consumes via its native Web/OData connector using OAuth2 bearer tokens scoped by admin ACL. We deliver a .pbix template already wired to your model and help configure the Power BI gateway and scheduled refresh so dashboards stay current automatically.

Can it consolidate multiple stores and websites into one report?

Yes. Every dataset is tagged by store_id and website_id, and the prebuilt star-schema model includes a store dimension. This lets you view each storefront separately or roll everything up into a single consolidated sales, inventory, and customer report.