ABOUT DATA FLAKES

About Data Flakes

Reliable data. Intelligent automation. Personally delivered.

Data Flakes combines conversion tracking, analytics, and reporting with AI automation and intelligent workflows. Our goal: to help businesses get better data, streamline processes, and seamlessly connect digital systems.

WHAT WE STAND FOR

We build systems that make data usable and reduce work

Data Flakes combines technical data expertise with practical process automation. We view tracking, reporting, and automation as an interconnected system: collect data → understand data → automate processes.

Collect data

Conversion tracking, GA4, Google Ads, GTM, consent, and server-side tracking form the foundation for reliable data.

Understanding data

Dashboards, data models, and reporting turn technical data into actionable insights that teams can work with.

Automate processes

AI agents, workflows, and automations handle recurring tasks and connect existing systems.

THE PERSON BEHIND DATA FLAKES

FOUNDER & DATA / AUTOMATION EXPERT

Anna-Lena Eggensberger

Anna-Lena

Anna-Lena Eggensberger is the founder of Data Flakes. She develops solutions for conversion tracking, web analytics, data models, and process automation.

Anna-Lena is the founder of Data Flakes. She develops solutions for conversion tracking, web analytics, data modeling, and process automation.

Your focus is on combining clean technical data collection with practical solutions that support businesses in their day-to-day operations.

Areas of Expertise

GA4 · Google Tag Manager · Google Ads · Server-Side Tracking · Consent · Marketing Analytics · Looker Studio / Power BI · BigQuery · Power Automate · n8n · API Integrations · AI Agents · AI Automation

EXPERTISE

Three areas of competence that interact

Tracking & Measurement

Reliable measurement logic, technical quality assurance, and a clean data flow all the way to the marketing platform.

AI & Automation

AI agents, workflows, APIs, and custom tools tailored to your existing processes and systems.

Data & Reporting

Consolidate data sources and present information clearly for analysis and decision-making.

HOW WE WORK

Technically sound. Pragmatically implemented.

01 · Problem Before Tool

We start with the challenge – not with the question of whether to use n8n, Power Automate, or an AI agent.

02 · Data before Automation

Automation only works reliably when the underlying data and processes are properly structured.

03 · Start small, expand sensibly

Not every project has to be big right from the start. We begin with the scope that is actually necessary.

04 · Traceable Solutions

Implementations should remain documented, testable, and transparent for clients.

FROM THE FIELD

Not just concepts – working solutions

WHY DATA FLAKES?

Specialized expertise instead of a one-size-fits-all full-service approach

Data Flakes focuses on areas that are technically closely linked: tracking, data, and automation. This ensures projects are designed across the entire data flow—not just as isolated tools.

Technical Specialization · Personal Collaboration · Pragmatic Solutions · Technology-Agnostic Approach

FAQs

Frequently Asked Questions about Data Flakes

What does Data Flakes do?

Who is behind Data Flakes?

Which companies does Data Flakes support?

Does Data Flakes also work with agencies?

How does a project with Data Flakes start?

What does Data Flakes do?

Who is behind Data Flakes?

Which companies does Data Flakes support?

Does Data Flakes also work with agencies?

How does a project with Data Flakes start?

What does Data Flakes do?

Who is behind Data Flakes?

Which companies does Data Flakes support?

Does Data Flakes also work with agencies?

How does a project with Data Flakes start?

Do you want to make a difference with us?

Do you want to solve real-world problems using AI, data, and automation? We look forward to getting to know you.

Explore Careers →

START PROJECT

Ready for better data and smarter workflows?

Whether it's tracking, reporting, or automation—briefly tell us where you currently stand. Together, we'll see which approach makes sense.