The ETL (extract, transform, and load) methodology is widely utilised because of its sound basis. Simple processes include extracting data from several systems, normalising it to fit a standard data model, and finally loading it into a data warehouse. Your teams will then use the information gleaned from their BI and analytics tools to write reports and perform investigations.

Yet having access to trustworthy and standardised data will benefit more than simply your company’s analysts. Access to this data would benefit almost every function in an organisation, from HR to CS. This is why “reverse ETL,” a novel approach, has been trending upwards in recent years. Starting with a description and moving on to examples of its application and benefits, this article will cover all you need to know about reverse etl.

Can you explain what you mean by “reverse ETL”?

Reverse extract, transform, and load, or Reverse ETL, is the method by which master data is moved from a data warehouse to other systems, either in real time or in time-based batches.

Reverse ETL Use Cases

• To further grasp this concept, let’s examine some real-world applications.
• Growth should be guided by statistics on use.

Product consumption data obtained might be useful to many groups in many ways. It may help your customer success managers spot customers who are likely to leave, your sales team zero in on prospects for upsells and cross-sells, and your marketing team zero in on which clients to nurture and in what order. Reverse ETL allows the aforementioned teams to rapidly respond to data on product consumption by transmitting the data to each of the apps that they use.

Serving clients in a timely manner

In order to resolve specific issues, your customer care agents will likely need access to numerous types of client data stored in an IT service management platform like Zendesk. Product use information is supplemented by these details. Information such as the client’s conversation history, current plan, payment details, and billing history are stored here. Reverse ETL not only helps you include all this data into your ITSM, but it also synchronises it in real time with your data warehouse, so your support staff is always seeing the most up-to-date version of client data.

It is important to run targeted marketing campaigns

To implement targeted campaigns, your marketing team, like the one in the previous example, needs access to many sorts of data. Details on the product’s usage, as well as the customer’s location, occupation, length of service, etc., may be included. With the use of reverse ETL, you can easily integrate all of these sources into a marketing automation system like HubSpot for usage by your marketers.

The Benefits of Backwards ETL

One of the main advantages of adopting reverse ETL is that it allows employees to have access to accurate and up-to-date data inside the apps they are already using. That is to say, users won’t have to go between programmes to get what they need, and they’ll have more trust in the data they already have, making it simpler for them to act. This approach is gaining favour since it streamlines your data model for usage in subsequent systems. This removes any possible ambiguity from your apps’ pre-built fields.