Connect Adobe Commerce (ex. Magento) to Chartio Automatically

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What is Adobe Commerce (ex. Magento)?

Adobe Commerce (ex. Magento) is a leading eCommerce platform that provides enterprise companies with a flexible, scalable, and customizable solution to manage their online stores. With its vast array of features and extensions, it allows businesses to create a seamless shopping experience for their customers, while also offering robust integrations with other platforms for better data analysis and decision-making.

What is Chartio?

Chartio is a powerful business intelligence (BI) and data visualization tool designed for enterprise companies. It enables users to access, analyze, and visualize data from multiple sources in real-time, making it easier for decision-makers to gain insights and make informed decisions. With its intuitive drag-and-drop interface and extensive library of pre-built visualizations, Chartio simplifies complex data analysis, helping companies uncover hidden trends and drive growth.

Connecting Adobe Commerce (ex. Magento) to Chartio

Connecting Adobe Commerce (ex. Magento) to Chartio can be achieved through various methods:

  • Use a custom API integration to directly connect Adobe Commerce (ex. Magento) to Chartio. This method requires programming knowledge to create and maintain the integration.
  • Utilize a third-party data connector, such as an ETL (Extract, Transform, Load) tool, to extract data from Adobe Commerce (ex. Magento) and load it into Chartio. This might require additional cost and setup time.
  • Export Adobe Commerce (ex. Magento) data to a CSV file and manually import it into Chartio. This method is time-consuming and does not provide real-time data synchronization.
  • Consider using Improvado, a powerful marketing analytics platform that simplifies the process of connecting Adobe Commerce (ex. Magento) to Chartio. Unlike other methods, Improvado automates the entire data pipeline, from data extraction to visualization, saving time and effort.

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We now rely fully on Improvado for multiple dashboards that we use for day-to-day marketing operations and strategy, as well as for presentations to executive leadership.

Waleed Noury, Senior Media Analyst at Activision
Waleed Noury
Senior Media Analyst
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Connecting Adobe Commerce (ex. Magento) to Chartio with Improvado

Improvado is the best solution for connecting Adobe Commerce (ex. Magento) to Chartio because it offers several key advantages:

  • Scalability: Improvado can handle large volumes of data, making it suitable for enterprise companies with extensive datasets.
  • Customization: Improvado allows users to customize metrics and dimensions according to their specific needs. Users can access a comprehensive data dictionary to understand the available data types from Adobe Commerce (ex. Magento).
  • High-quality customer support: Improvado provides dedicated support to its clients, ensuring a smooth and seamless integration process.
  • Real-time data synchronization: With Improvado, users can visualize Adobe Commerce (ex. Magento) data in Chartio in real-time, enabling faster decision-making and insights.
  • Centralized marketing and sales data: Improvado allows users to combine Adobe Commerce (ex. Magento) data with other marketing and sales platforms, providing a holistic view of the business performance.

Summary of connection Adobe Commerce (ex. Magento) to Chartio

In summary, connecting Adobe Commerce (ex. Magento) and Chartio is a powerful way to visualize and analyze eCommerce data for better decision-making. Improvado stands out as the best solution for this integration, thanks to its scalability, customization options, high-quality customer support, ability to process large volumes of data, and capability to centralize marketing and sales data. To explore how Improvado can help your enterprise connect Adobe Commerce (ex. Magento) to Chartio, book a call with an expert today.

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Trusted by the leading data-driven companies, Improvado is an advanced marketing analytics providing businesses with fully automated no-code data pipelines: from data to insights.

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