With data stack, we refer to the set of tools, processes and technologies that allow a company to collect, process and use data to make informed decisions.
In this article we will explore how n8n can become the beating heart of a data stack, automating custom flows and integrating multiple sources. n8n is part of the open automation platforms (open, not open source), an alternative to more well-known and expensive solutions such as Zapier.
If you prefer you can also see the video.
A Practical Example of a Data stack
Imagine having a form on your website to collect leads (potential customers). This form, perhaps from Google, is connected to a Google sheet where all responses are automatically recorded. This is the first node of our data system: the acquisition.
With n8n, we can set a trigger that detects every new row added to the Google Sheet. From here, the data can follow different paths:
- Open source CRM (e.g. Mautic): automatic creation of a new contact.
- Database (PostgreSQL): structured data storage for analysis.
- No-code database (nocoDB): more spreadsheet-like alternative for those who prefer more intuitive interfaces than traditional databases.
Data collection is not enough otherwise it wouldn’t be called a data stack. Let’s say a lead answers a specific question on the form that indicates high conversion potential. With n8n we can:
- Send a notification on Telegram to the relevant sales representative, if your company has them.
- Generate a personalized message on WhatsApp, elaborated by a linguistic model through Grok, for a more targeted and less generic approach.
These automations not only save time, but also improve the effectiveness of interactions with potential customers.
Management of security and protection of personal data
Designing a data system also means integrating security and protection of personal data. For example, if we use a SQL database exposed on the internet, it becomes essential to configure credentials with read-only permissions and protect connections to data sources (API) with secure keys. Furthermore, the privacy policy must be updated to inform users on how their data will be processed during analysis.
Data visualization
We can visualize the data collected through Business Intelligence tools such as Google Looker, connected to PostgreSQL (better but more difficult) or spreadsheet (easier and limited). This allows you to transform simple records into dynamic dashboards, facilitating analysis and making strategic decisions. This part is not strictly part of the data system on the n8n, but a consequence of having it.
A data system with n8n does not only consist of automations, but of a “creature” that lives on data processing: acquisition, processing, analysis and action. If you want to find out how n8n can help your business, book a free first call.