Connect Amazon Vendor Central to GoodData for Unbiased Marketing Insights

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What is Amazon Vendor Central?

Amazon Vendor Central is a portal for manufacturers and distributors to partner with Amazon, enabling them to sell their products directly to the retail giant. Large enterprises benefit from using Amazon Vendor Central as it provides access to Amazon's vast customer base, advanced marketing tools, and fulfillment services. This partnership helps businesses increase their sales, improve product visibility, and enhance customer experience.

What is GoodData?

GoodData is a cloud-based analytics and business intelligence platform that enables enterprises to transform their data into actionable insights. It offers robust data integration, data warehousing, and data visualization capabilities, allowing companies to monitor their performance, identify trends, and make data-driven decisions. By using GoodData, enterprises can increase their efficiency, improve decision-making, and drive growth.

Connecting Amazon Vendor Central to GoodData

Connecting Amazon Vendor Central to GoodData can be achieved using the following steps:

  • Export data from Amazon Vendor Central: The first step is to export the required data from Amazon Vendor Central, such as sales, inventory, and performance metrics.
  • Prepare the data: Data from Amazon Vendor Central may need to be cleaned, transformed, and standardized before it can be imported into GoodData. This process ensures that the data is accurate and consistent.
  • Import data into GoodData: Once the data is prepared, it can be imported into GoodData using a data connector or a custom integration. This process may require knowledge of APIs and data formats, as well as the creation of data models and dashboards.
  • Visualize the data: After importing the data into GoodData, it can be visualized using various charts, graphs, and reports. This step helps users analyze the data and gain insights into their business performance.
  • Automate the process: To keep the data up-to-date, the process of extracting, transforming, and loading (ETL) data from Amazon Vendor Central to GoodData should be automated. This can be achieved using ETL tools, scripts, or third-party services like Improvado.

Using Improvado instead of other methods offers efficiency, scalability, and a hassle-free way to connect Amazon Vendor Central to GoodData.

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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
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Connecting Amazon Vendor Central to GoodData with Improvado

Improvado is the best solution to connect Amazon Vendor Central to GoodData due to its advanced capabilities and ease of use. With Improvado, businesses can automatically extract and load data from Amazon Vendor Central to GoodData, eliminating the need for manual data preparation and complex data integrations. Improvado offers a comprehensive data dictionary that includes all relevant metrics and dimensions, making it easy to create custom reports and dashboards. Additionally, Improvado's platform is scalable, allowing enterprises to connect multiple data sources and manage large volumes of data with ease.

Summary of connection Amazon Vendor Central to GoodData

In summary, connecting Amazon Vendor Central and GoodData using Improvado allows businesses to take advantage of the platform's scalability, customization, and high-quality customer support. Improvado enables enterprises to process large volumes of data, centralize their marketing and sales data, and gain valuable insights to drive growth. To learn more about how Improvado can help your business, book a call with one of our experts 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.

  • Reliable data pipeline — automatically get analysis-ready data from hundreds of marketing platforms.
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