Hybridisation

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 hybridisation 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 Expert

Rufos Odetoki

Data Processing Analyst

Our Methods

Declarative survey enhanced by CRM data

Combine declarative responses and CRM data for a complete customer view

Hybridization of marketing and CRM data

Merging marketing and CRM data to improve customer knowledge

Passive collection of behavioural data coupled with declarative data

Combine passive behavioural data and declarative data for greater richness

Design of a data hybridization protocol

Create a structured protocol for using different data sources

Enhancing the customer database with external data

Add external data to the customer database to enhance profiles

Hybridization of study data and internal databases

Integrate research and internal data to personalise actions

Hybridization of declarative data and implicit measures

Coupling semantic AI and data visualization solutions

Combining semantic AI and datavisualisation for better data analysis

Merging behavioural data and online communities

Cross-reference behavioural data with qualitative community insights

Association of declarative data with eye-tracking

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