Connect Amazon Seller Central to BigQuery in Minutes

Connect Amazon Seller Central to BigQuery

It is very simple to connect Amazon Seller Central to Google BigQuery, it can be done in a fast and easy manner with Windsor.ai.

First Step:

You need to select Amazon Seller Central as a Data Source and Grant Access to Windsor.ai.

Second Step:

Once you select the data source, click the Next (Data Preview Button). 

Select BigQuery by clicking on the logo, as shown in the screenshot below.  

Third Step:

Once you select Bigquery, click the Add Destination Task Button and fill out necessary fields . 

Fourth Step:

In the final step, grant access to the user: bq-upload@windsor-ai-bigquery.iam.gserviceaccount.com. That’s all!

Once you go through these steps, you will see that the data is automatically populated into your BigQuery account.

Note: As a connector URL, you can use any URL providing a JSON. Either from the connectors or for example a URL with cached and transformed data.

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Why Move Data From Amazon Seller Central to BigQuery?

Integrating Amazon Seller Central with BigQuery can offer several benefits for businesses. Here are some reasons why integrating Amazon MWS with BigQuery is beneficial:

1. Centralized data storage: Amazon Seller Central provides valuable data on sales, orders, inventory, and customer behavior. By moving this data to BigQuery, you can centralize it with other sources of information, such as your website, CRM system, or other e-commerce platforms. This consolidation allows for more comprehensive analytics and reporting.
2. Scalability and performance: BigQuery is a highly scalable and fully managed data warehouse offered by Google Cloud. It can handle large volumes of data and execute complex queries quickly, enabling efficient analysis of your Amazon Seller Central data. With its serverless architecture, you don’t need to worry about infrastructure provisioning or maintenance.
3. Advanced analytics capabilities: BigQuery provides powerful analytical capabilities, including SQL queries, machine learning, and data visualization tools. By migrating your Amazon Seller Central data to BigQuery, you can leverage these features to gain deeper insights into your sales patterns, customer behavior, profitability, and other key metrics. This can help you make data-driven decisions, optimize your sales strategies, and identify opportunities for growth.
4. Integration with other tools: BigQuery integrates seamlessly with other components of the Google Cloud ecosystem, such as Google Data Studio, Google Analytics, and Google AI Platform. This integration allows you to combine and analyze data from various sources, perform advanced data modeling, create interactive dashboards, and build machine learning models based on your Amazon Seller Central data.
5. Data warehousing capabilities: BigQuery provides robust data warehousing capabilities, including data partitioning, clustering, and data lifecycle management. These features enable you to organize and manage your Amazon Seller Central data efficiently, improving query performance and reducing costs by optimizing storage and query execution.
6. Long-term data retention: Amazon Seller Central has limitations on data retention, typically providing access to only the most recent 90 days of data. By migrating your data to BigQuery, you can retain historical data for longer periods, facilitating trend analysis, seasonality evaluation, and year-over-year comparisons.
7. Custom reporting and business intelligence: With your Amazon Seller Central data in BigQuery, you can create custom reports, build tailored business intelligence dashboards, and share insights across your organization. This empowers stakeholders to access relevant information and make informed decisions based on accurate and up-to-date data.

Conclusion

Connecting your Amazon Seller Central property to BigQuery is an efficient way for digital marketing specialists who rely heavily on their website analytics for insights about their customer’s behavior.

Try Windsor.ai today

Access all your data from your favorite sources in one place.
Get started for free with a 30 - day trial.

Start Free Trial