Big Data Analytics for Political Campaigns
Big Data Analytics for Political Campaigns: A database with thorough citizens’ information plays a significant role in forming election strategies in modern-day election campaigns. Other than the reports made based on individual data, the most influential political campaign metrics are derived from citizens’ direct responses and behavioral patterns.
This is where Campaign Data Analysts use the respective data at the individual level to predict voters’ preferences and interests regarding political inclination and ideology.
It helps understand the voters’ behavior in supporting a respective party or a contestant. Ever since the year 2004, the use of predictive scores has been increasing and is also helping political campaigns to be strategized in an effective and aligned way.
The excessive use of predictive scores also impacts the coordination game plan with partial data between associated organizations.
Big Data Analytics for Political Campaigns
In the domain of political campaigning, Data Consulting as a service is increasing in India. The popularity of Big Data has become widespread with its use in the US Presidential Election, where Barack Obama’s campaign managers used the concept of Big Data effectively for his various election campaigns.
Since then, there has been no stopping, and political parties across India have started using Big Data in their election campaigns.
In the General Election of 2014, BJP emphasized big data, and the party’s campaign managers used this concept to create winning political campaigns that ultimately resulted in a clear win.
The sweeping victory of the BJP in the General Election boosted Big Data’s potential for strategizing and creating result-oriented political campaigns.
The concept of BigData Analytics for Political Campaigns helps campaign managers to analyze voters’ data and churn out the most influential political campaign that results in winning votes with a more significant margin.
Big Data can build political campaigns by micro-targeting a particular interest and preference group. In countries with vast populations and the biggest democracy, big data can help micro-target users and create political campaigns accordingly.
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Big Data Analytics for Election Management
To study the future, it becomes essential to analyze past behavior, which forms the basis of Big Data Analytics. In 2008, Obama was the first presidential candidate to leverage the power of BigData to win the election.
A team of 100 Data Analytics members was formed for Obama’s Campaign. This clearly shows the potential of Big Data in influencing customers and voters and recommending products or services, for that matter. The presence of Big Data is felt everywhere nowadays.
Obama’s Campaign is a classic example of the use of BigData in winning elections, and now, it has become the brainchild of every election campaign.
The concept of BigData Analytics for Election Management helps understand voters’ psyche and behavior, allowing campaign managers to plan election campaigns accordingly.
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Big Data Analytics for Political Strategy
Have you ever received a call from an unknown number concerning a political candidate? Is your promotional mailbox full of political emailers?
Or do campaigners come to your doorstep with loud messages that seem relatable to you? Former President Barack Obama called Big Data to micro-target voters a critical point in winning elections.
Big Data helps campaign managers to deliver tailor-made and customized messages to micro-groups of voters by analyzing the individual voter’s psyche and behavior.
Before evolving the internet, political parties gathered voters’ information through their home addresses, party affiliation, voting history, and a few other traditional touchpoints.
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Big Data Analytics for Election Strategy
The data for an election and political campaigns can be churned out in two ways. The first way is through polling and social data, and the second is through public data that forms an integral part of Big Data.
The principle of BigData Analytics for Election Strategy allows the contesting candidate or party to analyze the voters’ behavior better. On the other hand, it helps in the development of campaigns accordingly.
In a way, this brings a clearer picture of the respective election campaign. The use of Big Data Analytics helps in understanding the state’s demographic condition and allows candidates to check where they are lagging compared to their opponents.
Subsequently, this process helps political parties and candidates strategically place traditional marketing materials, such as billboards and Television Ads, to attract voters’ attention.
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Conclusion
According to US political analysts, Mitt Romney lost the presidential election to Barack Obama in 2012 due to Big Data Analytics. At that time, the local ward election campaigns gave an edge to Obama.
This is where the role of Big Data comes into play as it helps campaign managers to analyze voters’ and users’ sentiments at the micro or, let’s say, individual level.
This, in turn, allows them to develop strategies according to the local interest of voters. In the meantime, Social Media has become a hot seat for political discourse during election times, where platforms such as Twitter and Facebook help understand the voting trends and voters’ psychology.
The raw data generated from these social media platforms can be used effectively for election predictions and to develop winning election campaign strategies that parallel voters’ sentiments. This modern process of generation and analysis of data is called Big Data.