GDPR Data Map for Hosting Resellers

You run a hosting reseller business. A client emails: “I want a copy of all personal data you hold about me.” You have 30 days to respond. Do you know every table, every log, every support ticket where their data sits? If not, you need a GDPR data map. This article shows you how to build one and then automate a one-click export that satisfies access and portability requests.

What is a GDPR data map and why does a hosting reseller need one?

A GDPR data map is an inventory of every place personal data is stored, how it got there, and who can access it. For a hosting reseller, that means your billing system, support desk, control panel, and any third-party tools you use. Without it, you cannot reliably answer subject access requests (SARs) or data portability requests. You risk fines and lose customer trust.

The map is not a one-time document. It changes as you add services. But building it once gives you a repeatable process.

Where does personal data live in a typical reseller stack?

Personal data hides in more places than you think. Here are the main systems and the data they hold.

Billing and invoicing

• Customer name, company, address, email, phone
• Payment method details (often tokenized, but still personal)
• Invoice history, credit notes, tax IDs
• Login credentials and security questions

Support system

• Ticket content, attachments, chat logs
• IP addresses and browser user agents
• Internal notes that may contain personal opinions or data

Control panel and hosting services

• Account usernames, email addresses, FTP/SFTP credentials
• Domain registration data (WHOIS)
• SSL certificate details
• Access logs, error logs, email logs
• Backups that contain customer files and databases

Third-party tools

• Live chat widgets
• Analytics platforms
• Email marketing services
• Payment gateways

Each of these is a potential source for a SAR. Map them all.

How to build your data map step by step

Start with a simple spreadsheet. List every system, the data it holds, where it is stored (database, file, cloud), who has access, and the legal basis for processing. Then note how you would extract data for a specific individual.

For example, in your billing system, you might query the customers table by email. In support, you search tickets by requester email. In the control panel, you look up the hosting account by username.

Document the exact steps. This becomes your runbook for SARs.

What does a one-click export look like?

A one-click export is a script or feature that pulls all personal data for a given individual into a single archive (ZIP or JSON). It should cover all systems in your map. You can build it yourself or use built-in tools from your billing platform.

For instance, Teculiar, a platform for hosting resellers to manage billing, provisioning, and support, includes API access that can be used to automate such exports. But even without that, you can write a script that queries each system.

The export should include:

• Profile data (name, contact details)
• Transaction history
• Support tickets and replies
• Service usage logs (if they contain personal data)
• Any consent records

Format the data in a structured, commonly used, machine-readable format like JSON or CSV. That satisfies the portability requirement.

How to automate the export process

Manual exports do not scale. Automate by connecting your systems via API. Most billing platforms have an API. Support desks often have one too. Control panels like cPanel or Plesk have APIs for account data.

Write a script that:

1. Takes an email address as input.
2. Queries each system for that email.
3. Collects results into a folder.
4. Zips the folder and provides a download link.

If you use a platform like Teculiar, you can build this as a custom module. Otherwise, use a cron job or a small web app.

Test it with a dummy account. Time how long it takes. A good target is under 5 minutes for a typical customer.

What about data in backups and logs?

Backups and logs are often overlooked. If a customer requests all data, you must include relevant logs and backups, unless they are subject to a legal exemption. However, extracting from backups is impractical. Instead, document that backups are for disaster recovery and that you will restore and extract if necessary. For logs, you can filter by user ID or IP.

Be transparent in your privacy policy about retention periods. If you keep logs for 30 days, say so.

Checklist for compliance

• Create a data map covering all systems.
• Document extraction methods for each data source.
• Build an automated export tool.
• Test the tool regularly.
• Train staff on how to handle SARs.
• Keep records of all SARs and your responses.

For more details on how to integrate with your billing system, see our documentation.

What to do next

• Start your data map today: list every system and data type.
• Identify one system to automate first, usually billing.
• Write a simple script to export data for a test customer.
• Review our pricing to see if our platform can simplify the process.

Take the first step by mapping your data flows this week.