Data Intelligence & Analytics
“Data becomes useful when it answers a real decision question.”
Elections, public programmes and surveys generate large amounts of data, but much of it remains descriptive or fragmented. We help organise it, analyse it and turn it into information that teams can use.
What makes us different
Our analytics practice is built around political, governance and public-opinion data. That gives us working familiarity with Indian electoral data, constituency-level variation, survey datasets and programme information.
Core Analytics Disciplines
Data collection & management
Sourcing, cleaning, integrating, and governing datasets so they're reliable before analysis begins.
Descriptive analytics
Trend analysis, summary statistics, and visualisations that make patterns visible.
Diagnostic analytics
Root cause analysis, correlation mapping, and hypothesis testing.
Predictive modelling
Forecasting electoral outcomes, policy impacts, and voter behaviour shifts.
Prescriptive analytics
Optimisation models, scenario analysis, and decision support tools.
Custom dashboards
Bespoke visualisation tools built for client teams to use directly.
Four Levels of Analytical Depth
Descriptive — What happened?
Trend analysis, summary statistics, vote share breakdowns.
Diagnostic — Why did it happen?
Root cause analysis, correlation mapping, and covariance.
Predictive — What's likely to happen?
Forecasting models, turnout projections, and scenario planning.
Prescriptive — What should we do?
Optimisation models, ground prioritization, and decision tools.
Use Cases by Client Type
Translating complex data assets into tactical decisions for leaders across domains.
For political campaigns
Booth-level analysis, voter segmentation, swing patterns and resource-allocation models to help campaign teams decide where attention and effort are most needed.
For state governments
Programme analytics that show who is being reached, where gaps remain and how delivery changes over time, supported by dashboards where near real-time monitoring is useful.
For communications teams
Use text and social-media analysis to track public discussion, emerging narratives and changes in sentiment, while recognising the limits of online data.
For research organisations
Advanced statistical analysis, cross-tabulation at scale, cluster analysis, and regression modelling of large survey datasets.
For party organisations
Build centralised datasets, field-reporting systems and dashboards that campaign teams can maintain and use directly.
Advisory & Engagement FAQs
Commission This Practice
Discuss your policy challenge, campaign roadmap, or research assignment directly with our senior fellows.
Schedule Direct Briefing