How is the data processed and collected for big data?

Learn about how we treat data at Dymo.

Overview

Welcome to the article on data management in our databases.

As you may already know, many of our products rely on handling large volumes of data.

Each product feature requires specific data, and it is essential to keep this information as up-to-date as possible.

To achieve this, we use automated tools such as scrapers and specialized algorithms for data processing. These tools, combined with the work of our team, ensure that every piece of data entered into our database is validated.

How is this data obtained?

As our competitors and all big data companies available on the internet do, we feed our databases with data scraped from websites, purchased databases, community reports, victim simulations (in the case of scams), etc.

Request data updates

It's important to note that the information we store—such as domains, phone numbers, emails, IPs, wallets, and other data—can change ownership or activity. This means previously valid or flagged data might become outdated or incorrect over time.

If you have a specific case to report, you can notify us by clicking the link below.

Request to update new data

Report new data

If you want to report any other type of data, from scams to educational institutions, international companies, or other information, you can do so by clicking the button below. Additionally, we’ve provided a direct link to the help article explaining how to report such data and what types of information are useful to us.

How to report data Report data

Have more questions?

You can contact us to try to solve the problem you are experiencing - Contact.