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Transform your media data and other sources into actionable insights

Data is only meaningful if it is actionable.
We help clients in three ways:

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Data Science

Develop sophisticated models and algorithms to solve complex problems and offer custom solutions

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Data Integration

Integrate a wide variety of data sources using advanced statistical modelling to improve reliability of results

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Research Consultancy

Design samples, recruitment strategies, measurement tools and surveys to aid business planning

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ABOUT DATABREEDERS

Smart insights on cross media measurements

With 30+ years of experience in audience and media research, we reinvented the way in which Big Data and innovations in the IT field are used, analyzed and interpreted. We integrate innovative solutions -scalable and custom oriented- to exploit at our best the opportunities of this new Digital Era.

what do we do
WHAT WE DO

Algorithms and Quality Controls
for media currencies

As data experts, we operate in different areas but always with the same goal: to make your data actionable and give you smart insights.

Black Diamond

HOW WE DO IT

INTEGRATION

Algorithms aimed at integrating different data sources

Tech Lights

HOW WE DO IT

MODELS

Models to calculate aggregated metrics, such as cross media reach&frequency

Light Strokes

HOW WE DO IT

GOLDEN RULES

Drafting of golden rules for data analysis and compliance checks of individual applications.

Abstract Structure

HOW WE DO IT

STATISTICS

dataBreeders provides statistical and methodological consultancy.

news
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A multi-year contract for producing a groundbreaking industry-wide Total TV Measurement in Finland, unifying campaign measurements across all platforms.

Expertise

For Napster, as an example, we identified and displayed independent artists grown in streaming who subsequently became famous also on radio.

Image by Christina @ wocintechchat.com

Big data analysis & data visualization

expertise

Trusted by

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Watch us
WATCH US

ASI Conference 2020

"Multi-dimensional Isotonic Fusion: Capturing the complexity of online behaviour"

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