Streamline Shopify Analytics Reporting with Big Query

Streamline Shopify Analytics Reporting with Big Query

Table of Contents

  1. Introduction
  2. What is Data Warehousing?
  3. Data Warehousing and Google Sheets
  4. The Power of Automated Reporting
  5. Connecting Data Sources to the Data Warehouse
  6. Performing Data Manipulation with SQL
  7. Visualizing Data in Google Sheets
  8. The Benefits of Using Connected Sheets
  9. Advanced Analytics: On-Site Behavior Analysis
  10. Challenges of Attribution
  11. Conclusion


Welcome to another episode of the Conversion Tracking Playbook! In this episode, our special guest Gabriel Freeman, founder of GLF Analytics, joins us to discuss the topic of data warehousing and its role in driving growth and change for businesses. We'll delve into the process of setting up a data warehouse and explore how Google Sheets can be used on top of it for automated reporting. Gabriel will also share insights on common questions brands have when utilizing data warehousing solutions.

What is Data Warehousing?

Data warehousing involves the process of gathering, organizing, and storing large volumes of data from various sources into a central repository or "data warehouse." This data is structured in a way that allows for efficient analysis and reporting. Data warehousing provides businesses with a unified view of their data, making it easier to derive insights and make informed decisions.

Data Warehousing and Google Sheets

The combination of data warehousing and Google Sheets offers a powerful solution for businesses looking to leverage their data for reporting and analysis. With the ability to connect Google Sheets directly to a data warehouse, users can access and manipulate real-time data without the need for complex coding or data extraction processes. This seamless integration allows for more efficient and accurate reporting, empowering businesses to make data-driven decisions.

The Power of Automated Reporting

Automated reporting is a key benefit of utilizing a data warehouse in conjunction with a tool like Google Sheets. By setting up automated processes, businesses can have their reports updated with the latest data on a regular basis. This eliminates the need for manual data extraction and manipulation, saving time and ensuring accuracy. Automated reporting also enables quicker decision-making, as users can access up-to-date insights with a few clicks.

Connecting Data Sources to the Data Warehouse

To utilize the full potential of a data warehouse, it is essential to connect various data sources to it. Platforms such as Google Ads, Facebook Ads, TikTok, and Shopify can be integrated into the data warehouse through tools like Stitch or Five Tran. These tools automate the process of transferring data from the sources to the data warehouse, providing a centralized hub for analysis and reporting.

Performing Data Manipulation with SQL

SQL (Structured Query Language) plays a crucial role in data manipulation within a data warehouse. It allows users to extract, transform, and analyze the data stored in the warehouse. By writing SQL queries, users can perform complex calculations, join multiple datasets, and filter data based on specific criteria. Proficiency in SQL is a valuable skill for working with data warehouses and extracting meaningful insights.

Visualizing Data in Google Sheets

Google Sheets offers a user-friendly interface for visualizing data extracted from a data warehouse. With features like pivot tables and charts, users can create dynamic and interactive reports that highlight key metrics and trends. The ability to connect Google Sheets directly to the data warehouse ensures that reports are automatically updated with the latest data, providing a real-time view of business performance.

The Benefits of Using Connected Sheets

Connected Sheets, the integration between Google Sheets and data warehouses, offers several advantages for businesses. By connecting directly to the data warehouse, users can eliminate the need for manual data extraction and manipulation. This streamlines the reporting process and reduces the risk of errors. Connected Sheets also enables collaboration, as multiple users can access and work on the same reports simultaneously, fostering a more efficient and cohesive data analysis workflow.

Advanced Analytics: On-Site Behavior Analysis

In addition to post-purchase analysis, businesses can leverage data warehousing and analytics tools like Google Analytics to gain insights into on-site behavior. By tracking user interactions, such as add to cart actions, email or SMS signups, and conversion rates, businesses can understand how different marketing channels and campaigns drive customer engagement and conversions. Analyzing on-site behavior provides valuable insights for optimizing marketing strategies and improving overall user experience.

Challenges of Attribution

One of the challenges businesses face when analyzing data from different sources is attribution. Connecting data from platforms like Facebook Ads and Google Analytics requires careful consideration of attribution models and data matching. While it may not always be possible to connect every data point accurately, having a centralized data warehouse allows for a more comprehensive view of customer interactions and attribution insights.


Data warehousing, combined with tools like Google Sheets, offers businesses a powerful solution for efficient data analysis and reporting. By automating data transfer, manipulation, and visualization processes, businesses can save time and make informed decisions based on real-time insights. The integration of data sources and the ability to connect Google Sheets directly to the data warehouse provides a seamless and collaborative environment for data-driven decision-making.

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