We conduct this before the election to gauge public opinion about candidates, parties, and issues..

We identify relationships between various factors (demographics, socioeconomic indicators, etc.) and voting behavior. These models are used to predict how changes in these factors might influence election outcomes.

We group similar polling booths or constituencies together based on voting patterns and demographics. This reveal regional trends and help tailor campaign strategies accordingly.

We analyze how voting patterns change over time, considering factors such as campaign events, debates, and media coverage. These analyses help track momentum shifts in support for candidates or parties.

We use Geographic information system (GIS) tools to analyze spatial data to identify voting patterns across different regions. Geospatial analysis helps understand regional disparities and demographic influences.

We use this simulation to model various scenarios and outcomes using random sampling techniques. They can be used to understand the range of possible election outcomes based on different assumptions.

We use this to analyze relationships between categorical variables, such as voting preferences and demographic characteristics. These tests help assess whether certain demographics are more likely to vote for specific candidates or parties.

We use to combine prior information with new data to update predictions about election outcomes as new information becomes available.
We use latest GPS system to analyze real time Voting percentage during polling day to alert polling agents towards further actions.