The Power of Connecting Amazon Data to Power BI

As an Amazon seller, having access to data is one thing. Making sense of it to increase performance metrics is a whole other thing. For this reason, a growing number of Amazon businesses are transporting their Amazon brand analytics to business intelligence tools to visualize their data and gain actionable insights from it more effectively.

Assume you’ve been using DataHawk to access, monitor, analyze, and optimize your Amazon business optimize. Only now, you want to take your selling performance to the next level and start leveraging the analytics platform to glean valuable data-driven Amazon insights from your data. This article will highlight the benefits of connecting Amazon data to Power BI and demonstrate how Amazon sellers can connect both their Amazon Seller Central and DataHawk data to Power BI in less than five simple steps.

Why Connect Your Amazon Data to Power BI?

If you’re an Amazon seller, you know how important it is to have access to accurate and up-to-date data about your business. This data can help you make informed decisions, identify trends and opportunities, and optimize your operations. One of the best ways to access and analyze your Amazon data is by syncing it to Power BI, Microsoft’s cloud-based business analytics service.

Power BI is a powerful data visualization and business intelligence tool that allows users to connect to a wide range of data sources, including Amazon Seller Central, to gain insights and make data-driven decisions. By connecting their data from Amazon to Power BI, sellers can create interactive reports, charts, and dashboards that provide valuable insights into their sales, inventory, customer behavior, and more. This can help sellers identify trends, optimize their operations, and make informed decisions about their Amazon business.

What Is DataHawk Connections?

DataHawk Connections is a tool that allows Amazon sellers to connect a dedicated DataHawk database to BI tools of their choosing. In doing so, sellers can export their Amazon or Walmart data directly to their current tools, avoid having to learn new software, create custom visualizations tailored to their unique business needs, and leverage clean data, custom metrics, and insights at scale. By using Connections, sellers can access all of the data they track on their DataHawk account, such as: 

• Tracked products and keywords (listings, sales ranks, organic ranks, sponsored ranks daily)
• Seller Central account data (orders, profit & loss, financial events)
• Advertising data (aggregated per account, campaign or product)
• Additionally, the data will be accompanied by custom-made KPIs (i.e., sales estimates, keyword search volume)

What’s more, DataHawk’s customer success team can work with sellers to navigate the process and help them create their dream dashboards that answer their specific needs and then set it to auto-pilot, so it becomes fully automated.

Pre-Built Google Sheets Dashboards

Too busy to build your own Google Sheets dashboards? Say no more. DataHawk allows sellers to access their Amazon and Walmart eCommerce data right within Google Sheets, all fully synced automatically, eradicating the need for manual data exports. To extract insights from data with more ease, DataHawk provides five different pre-built, ready-to-use Google Sheets dashboards. 

Profit and Loss Dashboard

The Profit and Loss Dashboard allows sellers to analyze sales, expenses, and profitability metrics. Sales metrics are also analyzed on a product level.

Search Dashboard

The Search Dashboard allows sellers to analyze organic ranks of tracked products given keywords that are tracked.

Best Seller Rank Dashboard

The Best Seller Rank Dashboard allows sellers to analyze the best seller ranks of tracked products across multiple categories.

Content Dashboard

The Content Dashboard allows sellers to analyze the product detail pages and the listing quality of tracked products.

Advertising Dashboard

The Advertising Dashboard allows sellers to analyze the product detail pages and the listing quality of tracked products.

However, for advanced sellers, DataHawk’s ready-to-use pre-built Google Sheets Dashboards may not be enough for all Google Sheets lovers. That can notably be the case if they have large volumes of data if they want to go deeper in customizing which data and history they want to sync to Google Sheets, or if they want to create a file with multiple data sources.

By using DataHawk’s Snowflake Destination and a reverse ETL tool such as Hightouch, Amazon sellers can sync the data they want from their DataHawk-powered Snowflake database to Google Sheets, assuming they’re still within Google Sheets cell limitations.

Connecting Your Amazon Data to Power BI With DataHawk

With DataHawk Connections, connecting your Amazon data to Power BI is easy. After enabling the Connections feature, DataHawk goes ahead and builds a specific database filled with your DataHawk data–hosted on Snowflake. The database DataHawk provides is compatible with the full Snowflake ecosystem and all the tools that can connect to Snowflake. Simply follow the steps below to get started with dashboarding and analyzing. 

Step 1

Open the DataHawk app and navigate to the Connections module via the sidebar. Once there, click on “Add Destination.”

Step 2

After being redirected to a destination selection page titled “Add Destination,” wherein a list of all available Destinations will be displayed, click on the destination you are interested in.

Step 3

This will bring you back to the Destinations page, with the Connection of your choice added, showing an “Initializing” status. The Connection typically takes less than a few minutes to initialize.

Step 4

Once the status is “Enabled,” click on the Connection to access the credentials page. On this page, you will see all the information regarding the newly created database we built, filled with your DataHawk data.

Benefits of Connecting Your Amazon Data to Power BI

One of the biggest benefits of using Power BI for Amazon sellers is the ability to connect data from multiple sources and create interactive reports, charts, and dashboards. This allows sellers to see important metrics, such as sales, inventory, and customer behavior, in one place and identify trends and patterns that may be difficult to see when looking at data in isolation.

Another benefit of using Power BI for Amazon sellers is the ability to create custom visualizations and reports. This allows sellers to focus on the data that is most important to their business, such as sales by product category or customer behavior by location. By being able to focus on the data that matters most, sellers can make informed decisions about their business, such as which products to stock or which marketing campaigns to invest in.

Additionally, Power BI allows sellers to share their data and visualizations with others, such as team members, stakeholders, and investors. This allows sellers to collaborate more effectively and make data-driven decisions as a team.

Four Reasons Sellers Should Use DataHawk to Sync Their Amazon Data to Power BI With DataHawk

Easy access to your data: Power BI makes it easy to access and analyze your Amazon data. You can use Power BI’s user-friendly interface to connect to your Amazon account and import your data, and then use a range of visualization and analysis tools to explore and understand your data.

Real-time updates: Power BI automatically updates your data in real-time, so you can always be sure that you’re working with the most current information. This can help you stay on top of changes in your business and make timely, informed decisions.

Customizable dashboards: Power BI allows you to create custom dashboards that display the information and metrics that are most important to you. You can use these dashboards to monitor your performance, track trends, and identify opportunities for improvement.

Collaboration and sharing: Power BI also makes it easy to share your dashboards and data with other members of your team. This can help you collaborate and work together more effectively, and it can also help you keep everyone in your organization up-to-date on the latest data and insights.

Conclusion

In short, Power BI and DataHawk combined are powerful tools that allow Amazon sellers to connect data from multiple sources, create custom visualizations, share insights with others, and wield a competitive edge. By using Power BI, sellers can gain valuable insights into their business, identify trends, optimize their operations, and make informed decisions that lead to growth and success.

Stop wasting valuable time trying to make sense of messy data. Start leveraging DataHawk and Power BI to increase productivity, save time, and make more profitable data-driven decisions for your Amazon business today.