Data Science & Analytics

We are constantly bombarded with data. If you know how to capture data, then there is plenty you can learn from it. Our Data Science & Analytics experts turn fuzzy numbers into specific advice using the latest AI, data processing and analytics technologies.

With new AI tools, especially generative AI and Large Language Models, we can process vast amounts of text data (“text-as-data”) and transform them into deep, nuanced insights. At the same time, solutions such as Power BI play an important role in enabling us — and our clients — to explore and visualise data in new ways and to investigate the insights. We also take an active role in advising on the use of AI, whether it concerns prompting techniques, the technology’s capabilities, or AI in analysis and advisory work.

Data Science & Analytics is at the core of Epinion’s work with quantitative data, analysis and visualisation. To achieve value-adding insights, we merge data, such as digital behaviour, telecom data, geospatial data and unstructured text data, with more conventional data sources, such as survey responses and registry data. With AI and generative AI, we can integrate even more data types and generate advanced, automated insights.

We are not afraid to experiment with advanced segmentation algorithms, AI and language models to crack the code for increased personalisation in communication, better decision-making and new market trends. That said, we always combine AI solutions with human expertise, deep domain knowledge and experience from the field the analysis is intended to illuminate — whether in aviation, transport, the public sector, civil society, research, private clients or the cultural sector.