Big data is very important to calculate data in election,in companies etc

1. THE ROLE OF BIG DATA IN ELECTIONS
PRESENTED BY-
VISHAL CHAUHAN (213109020033)
MCA 2ND YEAR
M.J.P ROHILKHAND UNIVERSITY,
BAREILLY

2. BIG DATA…WHAT IS IT?
Large data sets that include but not limited to:
• Consumer history
• Financial history
• Call centers
• Point-of-sale
• Social networks
• Web Traffic/Patterns
• Jet Engines

3. TYPES OF BIG DATA
1. Structured data
2. Unstructured data
3. Semi-structured data

4. MEDIA
• Social Networks (Twitter, Facebook, Google, LinkedIn,
Youtube)
• Data Sharing (Photo, Video, etc…)
• Wikipedia
• Blogs
• Podcasts

5. THE DIFFERENT SOURCES RESPONSIBLE FOR
GENERATION OF BIG DATA

6. THE AMOUNT OF DATA GENERATED BY SOME
PROMINENT AGENCIES AND ORGANIZATIONS
EVERY 24 HOURS
Where
1PB = 1000 TB

7. HOW WE PROCESS THE DATA ?
These are tools which we used in data gathering
process…
• Unstructured data handled by Apache Hadoop
Framework and Big data Analytics.
• Structured data handled by Sql Server, Oracle,
Pandas data frame and more database.
• Graph plotting handled by Tableau or Matplotlib
(Python library).

8. INDIAN & SOCIAL MEDIA
• Indian use twitter more than any other demographic
group.
• Politics and Government
• Advertisement
• The youth of this generation is highly invested in
politics and the ideas associated with it.
• Indian political parties are utilizing the internet and
social media to connect with youth for their agenda
and political events.

9. DATA MINING IN ELECTIONS
• Specific algorithms are designed to analyze collected
data on voters to predict
– Election outcomes
– Advertising tactics to promote voter support and
participation (online, door-to-door, phone, mail).
• Looking at voters as distinct individuals and by default as
part of a larger group.
• Personalized Profiles = Personalized Messages
• Taking Raw data and making it make sense.

10. BIG DATA FROM ELECTIONS PERSPECTIVE
• The election campaign committee understand the voters
better and adapt their policies to their sentiments the
versatility of analytics platforms.
• Big data analytics is the “Trump Card” most organisations
and movements have when planning election strategies.
• The prediction based on Facebook Likes was less accurate
than using traditional polling on whether a candidate
would be elected.

11. BIG DATA CONCERNS
• Big data also includes the sometimes unethical
gathering and merging of personal information.
• Major invasion of privacy without explicit
permission.
• Selling data on preferences (i.e behaviors survey,
houses, businesses, even universities).
• Software that codifies internet
comments/tweets/activities into a psychological/
emotional/political profile.

12. 2019 Elections, PM Modi & Big Data
• Targeted Messaging (online/text)
• Volunteer App
• Combining Traditional Phone Interviews w/ New
Data Forms to develop algorithms

13. RUNNING A DATA DRIVEN CAMPAIGN
• Linking everything and mind the data
• In the past, they needed cellphone and email addresses.
– NOW they have de-emphasized the traditional poll and
realized the increased mobility of younger tech savvy
generations
• TV ads are broad and most of the population does not
want commercials
– Hard telephone lines are basically dead.
– People under the age of 35 do not have hard lines...

14. CONCLUSION
• Currently, Data Mining is easy to use and it is not that
expensive. A small team of organization can also combine
and analyses the data and perform there task.
• The way BJP has used data in the last 2 elections, now in
the coming times all the political parties will work in
different fields at small level and high scale.
• These data can be used not only in political perspective
this idea can be used in multiple field to acquire better
solution.