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Hybridization

At OpinionWay, we revolutionize data analysis by combining different sources and methodologies for a more comprehensive and accurate understanding of your challenges. Data hybridization allows us to cross quantitative and qualitative information, enriching analyses and providing deeper, more reliable, and actionable insights to guide your strategic decisions.

Make sense of your data and exploit its full operational potential

Data hybridization marks a new line for customer understanding. Because beyond figures, there is often a great deal of behavioural data informed by the digital footprint of individuals, citizens and your customers. We can help you transform the big data sets into operational insights.

By connecting data from different resources, we create an enriched outline of your business challenges.

Our expertise in data science and AI, which granted us the 2022 Research of the Year Award and the 2023 Gold Trophy in CX, enables you to turn these connections into tangible strategic benefits.

Our experts

Nicolas Curtelin

Managing Director of OpinionWay Central Eastern Europe

Marcin Szczudłowski

Research Director

Latest publications

Analysis

Night trains in Europe: relics of the past or promise for the future?

Infographics

The European investments in Defense - November 2025

Infographics

The recognition of a State of Palestine - November 2025

Infographics

Political Figures in Europe - September 2025

Infographics

Travel Confidence Index - April 2025

Analysis

FAIRSCOPE: Which brands care about its customers?

Survey

OpinionWay Political Confidence Barometer launched in Poland for the first time - February 2024

Analysis

OPINION’EYE – Parliamentary elections in Poland

Our methods

Declarative survey enhanced by CRM data

Combine declarative responses and CRM data for a complete customer view

Design of a data hybridization protocol

Create a structured protocol for using different data sources

Hybridization of study data and internal databases

Integrate research and internal data to personalise actions

Hybridization of marketing and CRM data

Merging marketing and CRM data to improve customer knowledge

Enhancing the customer database with external data

Add external data to the customer database to enhance profiles

Association of declarative data with eye-tracking

Cross-reference declarative feedback with visual data to better understand reactions

Passive collection of behavioural data coupled with declarative data

Combine passive behavioural data and declarative data for greater richness

Coupling semantic AI and data visualization solutions

Combining semantic AI and datavisualisation for better data analysis