Data and analytics
Structuring, securing and exploiting campaign data so that every decision rests on verified, shared and directly actionable information.
Who it is for
Campaign leadership teams, parties and organisations whose data is scattered or under-used.
When
From the start of campaign structuring, to install a reliable data infrastructure before the intensive phases.
Key deliverables
Data architecture, consolidated data store, dashboards and periodic analysis notes.
From scattered data to decision-ready information
Campaigns produce a considerable volume of information every day: electoral results, field reports, supporter contacts, media coverage, digital statistics, expenditure. Most of the time, this data remains scattered across incompatible, incomplete or outdated files.
The value of data lies less in its volume than in its quality, its traceability and its availability at the moment a decision is taken. A data-driven campaign is not one that piles up figures, but one that knows which questions to ask and where to find reliable answers.
We design the infrastructure, governance rules and analytical tools that turn this raw material into decision-ready information, in strict compliance with personal data protection rules.
What the engagement covers
A complete chain, from collection to reporting.
Data architecture
Defining sources, formats, shared reference data and flows between tools.
Quality and reliability
Cleaning, de-duplication, harmonisation of territorial boundaries and consistency checks.
Governance
Rules for access, updates, security and retention, suited to the sensitivity of the information.
Dashboards
Concise visualisations of key indicators, designed for each level of decision-making.
Ad hoc analysis
Documented answers to strategic questions as they arise during the campaign.
Skills building
Training teams in the critical reading of data and the use of tools.
Infrastructure in the service of decisions
We start from the decisions to be informed and work back to the data required — not the other way round.
Needs
Identifying key decisions and the questions data must answer.
Inventory
Listing existing sources, their quality and their legal status.
Structuring
Setting up the architecture, reference data and governance rules.
Exploitation
Producing dashboards and periodic analyses.
Explicit, verifiable methods
Every tool we use is documented: its sources, assumptions and limitations are known to our clients.
Shared data model
Common reference data (areas, audiences, actions) ensuring information is comparable.
Automated quality checks
Validation rules that detect inconsistencies, duplicates and outliers.
Data visualisation
Charts and maps designed according to principles of legibility and visual honesty.
Statistical analysis
Tests, correlations and explanatory models applied with caution and a critical eye.
Measuring honestly
Every indicator is labelled by status — target, calculated estimate or measured result — in line with our principles of rigour
| Indicator | What it shows | Status |
|---|---|---|
| Data completeness | The share of essential fields filled in across consolidated databases. | Measured result |
| Freshness | The time between a field event and its availability in dashboards. | Measured result |
| Dashboard use | The level of adoption targeted among decision-making teams. | Target |
| Modelled trends | Trends inferred from partial data. | Calculated estimate |
Protected data, used with restraint
Political data is particularly sensitive; its management follows strict principles.
Lawful collection
We only use data obtained lawfully, with documented provenance.
Data minimisation
Only data strictly necessary for defined purposes is collected and kept.
Security
Restricted access, encryption and logging protect databases against leaks and misuse.
Sensitive data
Opinions, religious or ethnic affiliations are never recorded at individual level.
Data does not decide; it makes decisions clearer.AXIOME working principle
In what contexts do we work?
Illustrative situations: they do not describe actual engagements.
Scattered files
A party holds contact lists and field results in heterogeneous, incompatible formats.
Steering blind
A campaign leadership has no consolidated view of progress on the ground.
Long-term preparation
A party wants to build on its data between two elections to become more effective.
Frequently asked questions
No. The architecture is sized to actual means and needs. Simple, well-structured and well-governed tools are often more effective than sophisticated solutions that are poorly mastered.
The client. We act on their instructions and return or destroy the data at the end of the engagement, as agreed.
Through clear documentation of indicators, stating their status and training teams in the critical reading of data.
Related expertise
Let's discuss your project
Every political context is unique. A first, strictly confidential conversation allows us to understand what is at stake and define the most relevant support.
