Exploring Big Data with Social Media Analytics Essay

Social media being an ever growing industry, companies have incorporated their marketing and strategies to better their businesses. We explore that the reasons for the importance of incorporating this is: The daily use of handheld devices to access social media on a daily basis amongst computer use, Big data: online tracking produces oceans of data, challenging business analytics programs, Twitter, Facebook, and Pinterest

Twitter one of the most popular social networking sites. Both personal and corporate users enjoy twittering to engage in information-sharing. It has social as well as commercial utility. However, as is also the case with Facebook, Twitter is still striving to make its business model profitable as well as generate user traffic. Advertisers and marketers are interested in Twitter's ability to provide data about potential customers as well as its ability to expose users to advertising. However, there have been a number of concerns regarding the monetization of Twitter. Twitter's potential for 'data-mining' is alarming to many users. "By virtue of having a large number of users, Twitter also possessed such a database of personal information, as well as a large archive of personal messages" (Privacy issues and monetizing Twitter, 2011, Richard Ivey School of Business: 6).

Understanding and utilizing big data, such as the kind gathered en masse from social media and internet browsing searches can be a useful tool to combat terrorism domestically and abroad. It allows for connecting the dots of an individual’s online footprint to potentially identify terrorists before they strike.

This article reviews the application of big data and big data analysis at Facebook. As explained above, social networking sites such as Facebook generate terabytes of information on a daily basis and thus have the opportunity of generating massive amounts of knowledge from these data. The article has been divided into five chapters including the introduction, a brief description into Facebook, the big data strategies at Facebook, the big data technologies at the company to support strategic operations and the implementation of the big data strategies at the company. The paper then concludes with a brief conclusion briefing on the findings and the results of the discussion.

Living in the twenty first century, no one is unfamiliar with the recent incline of modern advancements and technology used to better our lives. Programmers are constantly engineering new sources of machinery to help make our lives, our labor, and our time have a more efficient outcome. Within the recent decade, the word “social media” has been spreading worldwide as opportunities to connect with old friends begins to expand. Social media is a broad word to describe certain applications that allow for their users to create, share, and like content about events happening anywhere in the world. Everyone is able to recognize the words “Facebook,” “Snapchat,” “Instagram,” and “Twitter,” for these are the

The Social Media world is wide and more extensive than ever. It is a very strategic marketing platform that reaches different cultures, ages, religion,

It can come in many different formats, such as text, image, video, or audio. It accounts for 80% of all data. Examples of unstructured data are emails, social media posts, surveillance footage, satellite images, and YouTube videos. The growths of the two data categories are completely different. Structured data grows as more information is added to databases and more people fill out forms. Unstructured data grows organically; more data is constantly being added, and the data builds on itself. A business can combine structured data with unstructured data to paint a picture of its customer and recognize behavioral patterns to predict future trends.

There are large amounts of information available in the world through various media outlets, such as the internet, mobile conversations, emails, chats, messages, etc. Nowadays, everything is a big data and with the emergence of the whole new breed of big data software which is distributed all over in the world, whatever data is available can be used for analyzing.

Today’s analyst is inundated by an ever growing number of data being created by social media, mobile phones, climate sensors, digital pictures, etc. The volume being generated is staggering (2.7 Zettabytes of data in the digital universe).While

Every organization, be it a booming corporation, a start up non-profit, or even a national football league team, is comprised of a plethora of data. Although data has always been important to an organization, now more than ever it has become a critical part of their performance. With continuously advancing technology becoming available for companies to use, the amount of data accessible can seem almost endless. Figuring out how to manage this data, along with what to do with it can be a daunting challenge. This is where data analytics comes in. By simple definition, data analytics is the science of using the raw data collected to come to conclusions to make, hopefully, successful business decisions. There are many different facets of data analytics, and each facet can be uniquely important to an organization’s needs. Most data collected can be divided into one of three subgroups that each build upon the previous: descriptive, predictive, and prescriptive.

Due to Facebook, Twitter, Instagram and a variety of other social networking sites and apps, millions of online users can connect and share their lives with each other. However, in a complex network where millions of people can create and post their daily lives, the collection and analysis of personal information by online social networking sites has been controversial due to its potential to weaken individual privacy. The online platforms are owned by businesses that have the goal to optimize performance for users but also can turn the masses of users into monetary value by data mining. Global multimedia networks and the advertising industry have become interested in the information about their online consumers due to the fact that people use the Internet on a daily basis for multiple reasons and produce significant amounts of usable data for strategic marketing. Revenue for social network sites is acquired from various companies who are eager to pay to advertise and market their own respective company. There is a great challenge that users face on social media as they try to manage their privacy against the power of the social networks companies that can affect their information and behavior. Popular social network sites—especially Facebook—have created impressive technological ways for many to be connected. However, the potential for social network sites to gather and utilize personal and private data from their users makes it a risky and unjust action for human

Big data analytics can help enterprises to better explore and understand the information contained within the data and will also help to recognize the data which becomes critical for future business decisions. Big data analysts basically depends on the knowledge of the analyzed data

Through out the year, we have seen the development of social media evolving. Social networking sites such as Facebook, Myspace, Twitter, Instagram etc. are not to post personal photos from your vacation or parties with friend anymore but also a tool for your business. A vital tool that is, social media has became a powerful marketing tool if it is used correctly, it can guide the customers from their social media site to their actual business site where information is provided much more in detail.

Data mining is the extraction of knowledge from the various databases that was previously unknown (Musan & Hunyadi, 2010). Data mining consists of using software that conglomerates artificial intelligence, statistical analysis, and systems management in the act of extracting facts and understanding from data stored in data warehouses, data marts, and through metadata (Giudici, 2005). Through algorithms and learning capabilities data mining software can analyze large amounts of data and give the management team intellectual and effective information to help them form their decisions. The intention for data mining is to analyze prevailing data and form new truths and new associations that were unknown prior to the analysis (Musan & Hunyadi,

Researchers can now collect a wide range of information about a population, including non-semantic and semantic features, on social media platforms.