From scattered data to decisions: how Data Layer works

Most companies do not have a problem of too little data, but of data that does not talk to each other. It sits in the ERP, the CRM, spreadsheets, SaaS platforms and providers systems. Data Layer exists to solve exactly that: connect the scattered and return it converted into decisions.

The process, in four steps

The beauty of Data Layer is that you only intervene in the first and last; the platform handles the rest.

1. You define the result

"I want a monthly dashboard for leadership." "I want to query my data with AI." "I want to anonymise sensitive data." You start with the business goal, not the technology.

2. They connect your sources

Wherever they are —internal systems, providers, partners, APIs or external sources—, Data Layer locates and connects what is needed without forcing you to change tools.

3. They process and protect

They clean, cross, validate and anonymise. Everything runs on European infrastructure, with end-to-end encryption and a GDPR-by-design approach.

4. They deliver the result

You receive the dashboard, API, dataset, report or AI solution working, with no infrastructure to manage.

Ask for a result. Receive it working. That is the difference between having data and having decisions.

What you can receive

• Dashboards and reports, executive and operational, with your real KPIs.
• APIs and datasets, clean and normalised, ready to integrate.
• AI on real data, with permissions, context and privacy.
• Anonymisation and synthetic data for AI, testing and third-party collaboration.
• Managed Data Lake as a reliable base to build everything else.

Why it matters for sales and marketing

A sales team that buys leads needs to know which channel converts, which segment performs and where the pipeline leaks. Data Layer crosses those signals with your internal data and turns them into a panel leadership understands at a glance. And by integrating with Funneld, it brings market signals and data mining into the equation.