Analyse your consultations through reliable data
Our Data Science Service
Data preparation
Essential phase in any Data Science project to ensure the smooth running of the project.
Static and semantic analysis
Vectorisation of texts This step makes it possible to link the texts of the contributions with categories and to identify the words describing these themes, then to visualise the groupings made
Synthetic understanding by AI
Sentiment analysis of the proposals and recovery of the keywords. Grouping of texts by keyword or related text.
Transmission of methods
Presentation and visualisations of the artificial intelligence methods used and the results
Adjust your decisions based on clear indicators
Understanding citizen needs
This makes it possible to identify the subjects that are important to citizens and to spot weak signals by grouping the proposals by theme
Sentiment Analysis
The words and the tone used contribute to the good understanding of citizens’ proposals
Behavioural analyses
Cross-sectional analysis by gender, occupation, location and other available data to better understand intra-population differences
Transparency and education
Analysis and synthesis work with a clear visualisation of the data enables better understanding by citizens
Data Science in a consultation project
Framework
– Listening to customer expectations, proposing analyses, presenting options
– Collection analysis and reporting needs
– Setting up analyses and defining deliverables
Participation
Reporting
– Data analysis using the Data Science techniques described above
– Writing an analytical report
– Creation of computer graphics
– Help in writing the summary