🚀 This article explains every stage of the data transformation process and cites the best data transformation tools🚀įor example, you may want to combine several data sets to present all the data in uniform. Because ETL processes are highly customizable, it's up to you to adjust them to suit your needs. As the user, you'll have goals and clear visions of how you want the data presented upon completion. This is when you apply the filters, functions, and any other criteria you want. The transform stage is where data transformation takes place. When extracting data, Improvado can store it for 12+ months to ensure an in-depth view of the user's marketing and sales performance. That's why ETL solutions should store previously extracted data to help analysts create a more holistic picture of their efforts. In analytics, saving historical data is mandatory to compare previous insights to your current results. Improvado's data dictionary of custom metrics Improvado lets data analysts set up an automatic data extraction process from 500+ marketing and sales data sources. Let's review the extraction process on the example of Improvado. The extraction process through Improvado's perspective Instead, it gets aggregated into a flat file, which can be used to create charts and analyze the data manually. Offline Extraction-Offline extraction is when the data isn't extracted directly from the source. Improvado uses online extraction to connect to all your different data sources automatically. Online Extraction-Online extraction is when the ETL tool has a direct connection to the data sources. There are two types of physical extractions: online and offline. In an ETL tool, you'll be able to see the timestamp of every data extraction, and view recent changes in a table. Incremental Extraction-Incremental extraction is used to extract data from the last successful extraction. When it comes to logical extraction, there are two subtypes.įull Extraction-Full extraction is used when you are extracting data for the first time, and all of the data is extracted at the same time. 🚀 You can find an extensive list of data extraction tools in our guide🚀 Logical Extraction Specifically, there are two main types of extraction methods: logical and physical. This data goes into what's called a 'staging area,' where the information is temporarily housed. that you want to transform into a different format, an ETL tool will automatically aggregate all this data for you. If you have many data sources, such as files, databases, spreadsheets, etc. To help you better understand how the ETL process works, here's a breakdown of each stage. Uploading data into a warehouse, so reports and dashboards can be easily generated.īreaking Down the ETL Process into Stages.Formatting the end data exactly how you need it.Improving efficiency, saving money, and reducing the number of working hours needed on data transformation.Scaling as you generate more data and run more campaigns.Customizing and automating the data aggregation process.Handling more data from more sources than manual processes can.Making data easier for management and outside stakeholders to understand.There are numerous reasons why companies turn to ETL tools to streamline their data transformation processes. Should Your Team Implement an ETL Process? Improvado is also one of the top ETL software based on the clients reviews.

ETL tools are the quickest and most efficient way to manage all that data and turn it into a usable format. You can pull data from as many locations as you need, create a data flow based on preset parameters, and get a clean set of data at the end. Typically, organizations implement ETL processes to manage large volumes of data from multiple sources, like ad campaigns or their CRM.įor example, ASUS utilizes Improvado ETL platform to aggregate their marketing data and turn it into actionable insights. The definition of ETL is Extract, Transform, Load, it's the process your data has to go through before you can analyze it.įirst, you extract the data from different platforms, then transform the data into a different format, and finally, load the data into a data warehouse. In this article, we’ve broken down the ETL process, explained how it works, and demonstrated how an ETL process can help you streamline your marketing data. That's where an ETL (Extract, Transform, Load) tool can help. According to Forbes, 95% of businesses need new means to arrange their data. But in order to effectively analyze data from multiple sources, you need to properly aggregate, clean, and store it. Analyzing your data is one of the best ways to evaluate performance and make better business decisions.

Extraction transformation and loading