![]() Most businesses also use CRMs to track communications with their customers. Think about payment processors like PayPal and Stripe, and invoicing software like QuickBooks. ![]() And Google Ads provides data about online campaigns.Īdd a few other marketing apps, and keeping tabs on these metrics becomes difficult. It likely gets metrics about visitor behavior from Google Analytics. Let’s take the example of an online store. Most businesses collect data from various sources. Let’s explain ETL’s three steps in more detail: To sum it up, ETL is a set of three processes (Extract, Transform, Load). The last step is loading data into a data warehouse of your choice. You’ll probably decide to invest more in that platform. For example, you can see which social media platform is bringing more traffic to your website. ![]() When you can actually read and understand your data, you can use it to determine what works for your business, and what doesn’t. Typically, you would use a Business Intelligence tool to build dashboards and visualize this data to gain business insights. Imagine a simple dataset in Excel with all of your customers and a bunch of columns with customer attributes like email address, phone numbers, etc. Then, ETL transforms the data into a format that’s easily understandable by humans. The sources could be databases or marketing tools you installed on your site. This process first extracts raw data from multiple sources. You'll also discover a series of tools you can use for your business.Īgain, ETL stands for Extract, Transform, Load. In this article, we’ll explain in more detail how the ETL process works. The better you understand your data, the more you can drive growth. This way, all metrics are accessible to everyone at your company. It gathers data in a single place and makes it easy to analyze. Let alone finding actionable insights to help your business grow. Often, all these sources make it hard to really understand data. Even a simple blog collects data from Google AdSense, Google Analytics, affiliate links, and so on. Modern businesses tend to have tons of data sources. This knowledge will be useful the next time you set up your editorial calendar.ĮTL comes in handy when you need to retrieve metrics from a legacy system and convert them into an up-to-date format. So you can easily understand which type of blog post keeps users entertained for a longer time. ETL helps you create a well-organized data set. Or, you can find out how much time users spend browsing a specific section of your blog. This will help you optimize your campaigns, understand what works and what doesn’t and ultimately get more customers for a lower advertising cost. Once you’ve gathered your ads data into your data warehouse, you can compare which one of the two ads is bringing more traffic. ![]() A data warehouse is just a type of database that’s optimized for storing big volumes of data and analytics. An ETL process brings data from both platforms into the same place, called a data warehouse. Let’s say you have two ads online from different advertising platforms (Google ads and Facebooks for example). Ultimately, the objective is to make the business more successful.įor example, you can track how many users land on your website after clicking on a specific ad. ETL’s goal is to help businesses gather all of their business data in the same place and make sense of it. Being able to gather all of these data in the same place to make sense of them is key to help improve one’s business. Typically, a business will have useful data in multiple systems like a CRM, a billing software, a customer support software, and so on. All online businesses collect data about customers and their interactions with their websites. Extract, Transform, Load (ETL) is an important process for understanding business data. ![]()
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