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Magento

Magento is a Partner Data Source. Please see our Documentation to learn more about partner data sources.
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Magento BI Integrations

Modernizing Magento BI

Preparing for analytics

Do you spend more time on data preparation or analysis? If you’re like most data analysts, you spend most of your time exporting CSVs, hacking spreadsheets, maintaining Python scripts, and managing databases. And you do all this hard work just for managers to ask why your reports don’t include today’s data. Your data deserves better, and so do you.

Automating data management

That laborious process of syncing and synthesizing data is called data management. Yes, it’s important—everyone knows good analysis requires good data. But every minute spent managing data is a minute that could be spent on analytics. The good news is that these processes can be automated and managed in the cloud without any complicated scripts or engineering expertise.

Your Magento data analytics platform

Panoply is the easiest way to sync, store, and access your Magento from all your business intelligence tools and analytical notebooks. It only takes a few minutes to connect your Magento data to Panoply. Once connected, Panoply will automatically refresh your data as it changes. There are no scripts to maintain or processes to manage. You can focus on what matters your data and your business.

Panoply makes your Magento data accessible
so you can analyze it

Expected Magento Data
Here’s a sample of the Magento data that you can sync, store, and access with Panoply:
Catalog Product Entity
Describes specific categories and can be combined with the `catalog_category_entity_varchar` table and `catalog_category_product` mapping table to get category info for each product.
Catalog Category Product
A combination of product and category info. Products can be listed multiple times with different categories and vice versa. This table indexes the `catalog_category_entity` table (which has category details) and the `catalog_product_entity` table (which has product details).
Catalog Product Entity
Information about specific products, including the SKU and when they were added in Magento.
Customer Entity
Information about users that are registered on your website. Includes basic customer-level details like email address and registration date.
Quote
Information about carts created during checking, including whether or not the cart was converted to an order. Note: Due to the potential size of this table, Magento recommends periodically deleting records if certain criteria are met, such as unconverted carts more than 60 days old.
Quote Item
Data about items added to a cart, whether or not they were actually purchased. Note: Due to the potential size of this table, Magento recommends periodically deleting records if certain criteria are met, such as items in unconverted carts more than 60 days old.
Sales Order
Data about orders placed on your site, including order date, the customer who placed the order, the order total, and any discount or coupon codes used.
Sales Order Address
Shipping and billing information associated with specific orders.
Sales Order Item
Information about specific items from specific orders, such as details about the order, the product, and the quantity purchased.

Screenshots

“ Panoply has given us drastic improvements in query speed and brought all our data in one place. Our visualizations are much more fast and efficient.
Andrew Zeck - CTO and Co-founder, Saucey
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