Here are five reasons why you should use for Ecommerce data warehouse integration:

  1. Like most Ecommerce retailers, you probably keep data in several different programs such as CRM systems, ERP systems, transactional databases, relational databases, and SaaS tools. helps you consolidate this data by moving it to a data warehouse.
  2. After moving data to a warehouse with, you can identify trends and patterns in this data and access real-time business intelligence about sales, customers, financial management, and inventory processes. 
  3. comes with in-built data connectors that let you warehouse data without any data engineering or programming experience.  
  4. helps you comply with data governance regulations like GDPR and CCPA when moving data to a warehouse. 
  5. Use for Ecommerce data warehouse integration if you want to generate deep insights into your Ecommerce operations and make smarter business decisions. 

Typically, Ecommerce data warehouse integration involves several complex steps that even the most advanced data engineer would struggle to execute. You need to build big data pipelines, cleanse data, make sure that data complies with data governance frameworks, and ensure data doesn't get degraded during the process. It's a challenge!

That's why more businesses use for Ecommerce data warehouse integration. This platform, built for Ecommerce, removes the bottlenecks associated with data warehousing, helping you move data between locations without any hassle. Learn more about why you should use for Ecommerce data warehouse integration below. 

Table of Contents is a new data warehouse integration platform designed exclusively for Ecommerce. It takes data from software and systems in your organization and moves it to a data warehouse for business intelligence activities like data analysis. With its pre-built out-of-the-box connectors, makes data warehousing simple. There's no code or jargon, and you can warehouse data using a simple point-and-click drag-and-drop user interface. Email to learn why Ecommerce retailers like you use for Ecommerce data warehouse integration.

Recommended reading: Why is Ecommerce Integration Important for Stores?

Data Warehousing, Explained

Think about all the data that exists in your Ecommerce enterprise right now. That might include product data, transactional data, social media posts, customer reviews, and inventory lists. Now, think of all the software and systems that store this data. You might maintain a customer relationship management (CRM) system, enterprise resource planning (ERP) system, transactional database, relational database, and several SaaS tools and apps. 

Wouldn't life be simpler if you maintained your data in a single location? Data analysis would be easier, for starters. You could analyze data from a centralized system instead of several programs. A data warehouse serves as that centralized system. It provides you with a single source of truth (SSOT) for all the data in your Ecommerce organization, making it easier to run data through analytical programs such as Looker, Tableau, and Power BI. Then, you can identify patterns and trends in data sets and make smarter business decisions. 

The most popular data warehouses include Snowflake, Amazon Redshift, Google BigQuery, and Microsoft Azure. All these warehouses have different features, capabilities, and pricing options, but they essentially do the same thing: Store large collections of business data for reporting and analysis. 

Data warehousing (or data warehouse integration) is the process of moving your data to a warehouse such as Snowflake or Amazon. Traditionally, it involved manually building data pipelines that enable data to flow from third-party systems to a warehouse. For example, moving data from Salesforce to Microsoft Azure. However, there are now easier data warehousing methods that don't involve manual pipeline-building. 

That's why so many businesses use for Ecommerce data warehouse integration. It doesn't involve any complicated processes and can move data to the warehouse of your choice in mere minutes with its in-built data connectors (more on that later).

The Problem With Data Warehousing for Ecommerce

Data warehouse integration is a challenge for most Ecommerce retailers. That's because it involves the creation of big data pipelines to automate the transformation and movement of data from one location to another. A data engineer is typically required for this process because manual pipeline-building involves complex code and programming—skills many business owners don't have. However, the average data engineer costs $115,658 per year, according to Indeed. This is an expense that Ecommerce organizations, especially small businesses, typically can't afford. Even if you have the financial resources to hire a data engineer, pipeline-building can take weeks and requires ongoing maintenance.

There is a solution to the above problems. Data warehousing tools have been increasingly popular in recent years and can mitigate the cost of expensive data engineers. Instead of manual pipeline-building, these tools automate many of the tasks associated with warehousing, allowing you to move data between locations and transform it into the correct format for analysis. Businesses use for Ecommerce data warehouse integration because it can save them money over the long run and eliminate complicated coding. comes with pre-built data connectors for all the major data warehouses, helping you operationalize data sources and enable the speedy flow of data between its source and a target destination such as Snowflake or Google BigQuery.

Why is Ecommerce Data Warehouse Integration Even Necessary?

Most Ecommerce businesses have data stored in several different systems, but these systems rarely 'talk' to each other. That makes data integration difficult. For example, you might have customer data in Salesforce and transactional data in a separate database but no way to combine or compare these data sets for analytical purposes. 

Data warehouse integration can take data from multiple sources, transform it into the correct format for analysis, and move it to a warehouse. All data warehouse integration tools automate this process to certain degrees but choosing a reputable platform like can make warehousing less of a chore. 

After warehousing has taken place, you can generate insights into almost every aspect of your Ecommerce operations. Here are a few examples of why retailers use for Ecommerce data warehouse integration:

  • Understand how customers interact and engage with Ecommerce organizations throughout sales and marketing cycles. For example, retailers can learn which customer cohorts are most likely to purchase their products or services (and when).
  • Discover the most effective ways marketing managers can reach customers across channels and devices. For example, Ecommerce companies can learn which search terms are most lucrative for driving prospects to product pages. 
  • Analyze historical and statistical data about inventories to mitigate 'out-of-stock' scenarios and predict over-stock, letting you track inventory levels to maximize warehouse space and improve logistics.  
  • Predict future outcomes with statistical methods such as prescriptive and predictive analytics. That helps retailers make sense of raw data sets and draw conclusions from big data in siloed software and systems. 
  • Segment customers based on demographic information, purchasing behavior, browsing behavior, and other factors for more effective marketing outcomes. 
  • Determine which sales agents are the most effective at converting prospects into bonafide customers and moving consumers through sales pipelines. 

Accessing this kind of analytical information is almost impossible without data warehousing because no other method is as effective for combining separate data sources for analysis. is the data warehouse integration solution you need for Ecommerce analytics. The platform's philosophy is to remove the barriers of warehousing so companies like yours can operationalize and analyze data without data engineering experience. complies with all data governance guidelines, helping you move data between locations without breaking the law. Its out-of-the-box connectors simplify the entire warehousing process, and there's no code or complicated jargon. That's why so many businesses use for Ecommerce data warehouse integration! Email to learn more. 

Recommended reading: 17 Best Data Integration Programs

Benefits of Ecommerce Data Warehousing With a Tool Like

Tools like can improve the following processes in your Ecommerce organization:

Customer Experience

Generating insights from customer-related data can help you personalize emails and other communications and learn more about what people think about your products and services. That can help optimize the customer experience and change perceptions about your brand.

Automation and other data warehousing tools remove the need to build pipelines and learn code. These platforms also cleanse and transform data into the correct format for analytics without human intervention, allowing you to focus on other data management tasks. 

Improve Data Consistency

Data warehouse integration tools standardize all the data in your organization for analytical programs, making it easier to compare data sets and run information through BI platforms. 

Remove Data Inconsistencies

Duplicated data sets and other inconsistencies can make data analysis less effective., for example, identifies duplicate data and improves data quality before moving information to a warehouse. You can make more effective business decisions in your Ecommerce enterprise with this high-quality data.

Get a 360-Degree View of All Your Data

By moving data to a tool like, you can generate operational insights about every component of your Ecommerce operations. For example, you can learn more about payroll, inventory, and the user experience. 

How Does Ecommerce Data Warehouse Integration Work With 

You can use for Ecommerce data warehouse integration in various ways: 

Extract, Transform, Load can move data to a warehouse of your choice via the Extract, Transform, and Load (ETL) process, which involves:

  • Extracting data from a data source such as a CRM, ERP, SaaS tool, database, or another Ecommerce platform like BigCommerce or Shopify. 
  • Transforming that data into the correct format for analytics. ( will also cleanse the data, check for inaccuracies and data duplicates, and make sure data complies with governance frameworks like GDPR.)
  • Loading the data into a warehouse.

Now you can use BI tools to generate insights into your Ecommerce business. You can view these insights on reports, dashboards, and data visualizations. 

Extract, Load, Transfer 

Extract, Load, Transfer (ELT) is similar to ETL but reverses the 'load' and 'transfer' steps of the data integration process: It involves:

  • Extracting data from a source.
  • Loading the data to a warehouse of your choice.
  • Transforming the data to the correct format for analytics. ( also cleanses data, checks for inaccuracies, and ensures data complies with governance frameworks.)

At this point, you can use BI tools to generate insights into your Ecommerce business. 

ELT is more effective for unstructured data in your Ecommerce organization or large data loads. 


ReverseETL occurs when you move data from a warehouse to an operational system like a SaaS tool. That enables Ecommerce retailers to access data insights on their preferred software and systems. 

Change Data Capture

Although not strictly a data warehouse integration method, Change Data Capture (CDC) is an effective way to manage the data in your Ecommerce organization. You can track changes in two or more databases and take quick action if someone makes a change to a database that could potentially damage your Ecommerce organization. can execute all of the data warehousing and transformation methods above, making it the go-to platform for Ecommerce retailers that want to manage and analyze data. It's no wonder, then, that a growing number of businesses use for Ecommerce data warehouse integration. Use Cases

Say you have customer data in several different platforms and want to analyze customer lifetime value or CLV. Doing so will help you identify the most valuable customers for marketers to nurture and move through sales funnels. The best way to achieve this goal is to use a platform like, which extracts data from the systems you use in your organization, transforms the data into the right format, and loads it to a data warehouse. You can then push data through a BI tool of your choice and discover insights about your customers. 

Now, say you want to generate insights about your business from large amounts of unstructured data. can extract data from sources, load it to a warehouse, and transform it into the correct data format. You can now identify patterns in unstructured data and share data insights with sales, marketing, and even customer service teams. 

Finally, say you want to move data from an operational system to a warehouse, run data through a BI tool, and then move that data back to the operational system. You can perform ReverseETL through and make data insights accessible to your teams. 

Factors To Consider Before Ecommerce Data Warehouse Integration

Here are some things to consider when choosing a data warehousing tool:


Data warehouse integration tools should be easy to use, especially if you have never transferred data to a warehouse before. has a point-and-click drag-and-drop interface, helping you move data to a target destination in minutes. 


Some data warehouse integration tools have a steep learning curve. Others require you to know code such as SQL. With's out-of-the-box connectors, there's no need for any data engineering or programming. You can move data between locations without the stress.

Out-of-the-Box Connectors

Choose a data warehousing platform with a wide range of data connectors, helping you move data to the warehouse of your choice. has out-of-the-box connectors for all the most popular warehouses, including Snowflake, Amazon Redshift, and Microsoft Azure. 

Customer Support

Some data warehousing tools have little customer support, making it hard to troubleshoot issues. lets you contact an engineer by phone, email, or live chat.

Data Governance

Moving data to a new location can throw up all kinds of legal implications, especially when selling products and services to customers in Europe and California. Data governance frameworks like GDPR and CCPA impose expensive penalties for non-compliance, which could impact your bottom line. complies with all main data governance frameworks, providing you with peace of mind.

Recommended reading: How to Get Started With an Ecommerce Integration Platform

Why You Should Use For Ecommerce Data Warehouse Integration is a data warehouse integration solution. It simplifies the entire warehousing process with out-of-the-box connectors that enable the smooth flow of data between sources and target destinations, making it one of the most effective tools of its kind on the market.

Unlike many other similar platforms, is built exclusively for Ecommerce. That means it can help you warehouse data and generate unparalleled insights into your Ecommerce operations. By moving data to the platform and then running it through BI tools like Tableau and Looker, you can learn about sales, customers, agents, inventory, and other components of your business. 

Some of's best features include Salesforce-to-Salesforce integration, enabling you to move Salesforce data into a warehouse and then back to Salesforce again. (Few data warehousing solutions offer this feature.) Other benefits include world-class customer service and a simple pricing model. lets you analyze Ecommerce data without coding or data engineering experience. Schedule an intro call to learn why you should use for Ecommerce data warehouse integration.