A political or commercial organization's capacity to locate, target, reach out to, and influence voters or customers can be significantly improved through predictive data modeling.
In order to forecast future events and outcomes, predictive data modeling and analytics use a number of statistical techniques from modeling to data mining that examine current and historical facts, individual behaviour, and decision-making. Predictive data models are highly helpful in forecasting a person's preferences for candidates or issues in politics. Several widely used models forecast a voter's likelihood to cast a ballot or how they would assess and select a candidate to support.
Baseline Survey
It assists clients in identifying current affairs and political concerns far in advance of political activity in their local locations in order to get an advantage over the opposition.
Door To Door Survey
Dronacharya Consulting through its door to door survey provides In depth and flow less information about every household mainly on the following parameters:
It aids in directly contacting and persuading both loyal and unbiased voters, which ultimately leads in a large voter turnout in the client's favour.
In this , the raw data from the field is compiled and a detailed research is conducted to correlate various factors with respect to the past election results. A comprehensive SWOT Analysis is carried out and the focussed and highlighted area is shortlisted to be taken up further. The total analysis divides the constituencies in four groups, i.e., Strong constituencies, Weak constituencies, Threatened constituencies and Opportune constituencies. A comparison between the strength of the individual vis a vis strength of the parties is carried out.In this, the field's raw data is compiled, and a full inspection is made to correlate numerous elements with the outcomes of previous elections. After a thorough SWOT analysis, the focused and highlighted region is picked for further investigation. Four categories—Strong constituencies, Weak constituencies, Threatened constituencies, and Opportune constituencies—are created as a result of the overall examination of the constituencies. The strength of the person is compared to the combined strength of the parties.
Constituency Profiling
Dronacharya offers voter profiles, constituency profiling, polling booth wise political analysis, list of sympathizers, SWOT analysis, local issues, and caste and community breakdowns.
The Constituency Profile is accompanied by an analysis of last election results to understand which community voted how much (turnout) and for whom (party affiliation). A SWOT Analysis of Polling Booths is also done, and areas of opportunity are identified.
The Profiling is typically useful for incumbents and Aspiring Political Leaders who are looking to fight the election from a particular constituency.
Opinion Poll
In the early stages of an election, Dronacharya Management conducts opinion polls to assess the current voter mood. This allows the candidate or political party to formulate a winning strategy by utilizing the cutting-edge stratified random sampling methodology and analytical approach of Dronacharya Management. The data can now be reported in real time. the information being acquired at the booth level throughout the state or constituency.
Voter List Correction
It has been determined that only around 946 of every 1000 legitimate voters are registered in a polling place, and in their place, we can locate between 10,000 and 15,000 false voters on the voter list. Via door-to-door voter counting and matching it with the supplied voter list, name and address correction, dead/shifted voter marking, amendment, or new voter addition, Dronacharya, as a pioneer, offers a novel way to identify on voter lists for its clients.
Trend Analysis
Dronacharya Management has developed low-cost, accurate political polling that helps political parties, the media, and corporations to comprehend the future voting trend and determine a political party's likelihood of winning. This is achieved by trend analysis, a sophisticated mathematical and statistical technique that forecasts future outcomes using historical results. Monitoring vote split, vote swing, and vote shift can help with this.
Win Ability Analysis
Any political party that wants to win elections must choose a candidate with a high public profile, a positive reputation, credibility, and the support of fellow party members and sympathisers. Dronacharya works with Win-Ability Analysis to choose the best candidate for a party by conducting grass-roots surveys that identify the best candidate from the field of candidates while also taking into account the candidate of the opposing party.