Porway's Argument Of Big Data

What is big data and how is it defined in today’s modern world? In 2001 Doug Laney Articulated what Big Data meant and this has become the industry standard for the idea. (SAS, 1) More accurately he described the three main attributes that defined Big Data. Laney articulated this idea during a period when Big Data was in its infancy. The amount of Data that could be stored did not allow for the level of analysis that is now common practice fourteen years later. This level of analysis is both changing the way we do business and changing the way we save lives. The amount of data collected from social media alone has completely revolutionized the marketing world allowing for targeted marketing campaigns at certain demographics. Laney described big data in three ways. (SAS, 1)

Even though “big data” is very valuable and has made many great gains for society in both efficiency and knowledge, with the increase in data collection and analytics there are many ethical concerns of how the data is being used because evidence based decision making within the analytics is often done solely on quantitative information, this creates digital inequity. Comparing and examining the works of Socrates and Martin Luther King Jr., we can develop our own ethical belief regarding some of the analytics used with “big data”.

They used facts and arguments from various sources, such as studies and authors. As they are introducing the topic, they use the ideas of Lev Manovich to justify their argument that the name “Big Data” can be misleading. Manovich observed that Big Data has been used to refer to data sets large enough to require supercomputers, yet large amounts of data can now be analyzed on much simpler computers. Boyd and Crawford contend that the value of the industry does not simply come from the large data sets, but the “patterns that can be derived by making connections between pieces of data…” By relating Manovich’s idea, their argument made more sense. As computers become more advanced, bigger data sets look much simpler. But the connections Big Data makes are still valuable, no matter how advanced computers

Through the Big Data film, viewers are taught that data tracked through search engines can be instrumental. The tracked data can be used to predict trends over time. For example in the film, the researchers were able to track the number of times that flu symptoms were searched. Then with this information, the researchers were able to accurately predict the onset of a flu season prior to the Center for Disease Control report. Additionally, this data can also be used to keep the information up to date. For example, during the hurricane season, people used Twitter to provide updates on where the damage occurred and give details on to what degree property was damaged. Recently, the city of Tallahassee used twitter to give updates on power outages that occurred during the most recent storm. On Twitter, the city of Tallahassee released the areas affected by the storm and approximated guess of how many people were without power. Data can be useful because it helps to keep people informed and permits further analysis of everyday tasks performed on the

Big data describes large scale data sets which are analyzed, using algorithms, to determine and eventually predict patterns in human behavior, interactions and the environment (oed.com). Big data is used by government entities to protect against terrorism as well as commercial entities for marketing. Big data needs ethical standards to prevent violations of four central principles, which are privacy, confidentiality, transparency, and identity (Richards 395). Big data is awareness and empowers those who control it. This revolution in information enables companies to shape consumer identity by influencing every interaction the user has with their service. Due to its predictive and persuasive nature, restrictions are necessary for consumers to

Back in 2007, I got my first exposure to Big Data while working for a now defunct startup company, called Memedia, to design and build their online ad distribution system. There, I saw firsthand the importance of the data being collected about internet users in helping the company target ads for online advertisers to the right audience through their partner publishers. At the time, Facebook was not the behemoth that it is today and companies were timid about collecting consumers’ personal information. But as we know today, the public has become very tolerant and has allowed social media companies to be more intrusive with

What does it mean to say “big data”? Big Data is more than just massive amounts of data stored together. It is more than just data delivered or analyzed fast. Meta Group’s Doug Laney described it as data that has volume, velocity, and variety (2001). This is the 3 V’s of Big Data and is widely used to define it. Additions to this definition include other V’s, such as veracity and value (XXX). What is volume? Volume could be 7 billion people speaking at once. It can be the data created by millions of Americans uploading photos, buying shoes online, or searching for the definition of Big Data. It is the volume of data being created by researchers at unprecedented amounts to chart the stars, to map the human genome, or to trend

Over the past few years, the volume of data collected and stored by business and government organizations has exploded. This data are refer to as “big data”, as it is an evolving term that describes any voluminous amount of structured, semi-structured and unstructured data that has the potential to be mined for information. The big data is a by-product of everyday human activities on the web, the record of multiple dimensions of social life: the tracks of our purchases on automated payment system, the record logs of our queries for finding information on search engines; the record of social networking services of our connections to friends, colleagues and collaborators; the record traces of our movements on wireless networks and mobile devices. The societal benefits of big data include; breakthroughs in medicine, data security, and energy use, conversely it contains personal sensitive information, so that the opportunities of discovering knowledge increase with the risks of privacy violation. (Monreale et. al., 2014; Tene and Polonetsky, 2013).

Big Data can analyze a customer’s purchases, profile information, and make an accurate prediction on what his/her interests will be. Big Data has the potential to be the phenomenal tool of the future. It can accurately predict what a customer wants and show advertisements that he or she is actually interested in; It can be installed in smart cars, where an automatic distress call is sent when an unlucky individual is in a car accident; It can be uploaded to devices that closely monitor people’s health and report any irregularities to their doctor.4

The term “Big Data” has been around for quite some time and has been catching everyone’s attention with remarkable speed. A plethora of questions do pop up in our mind sometimes. What is big data, is this something absolutely new, how can it be leveraged to create value for an organization and so on. For many years, companies have used various transactional records stored in relational databases to make competitive business decisions. But how long can we sustain or depend on these traditional methods of doing analysis and coming to a conclusion. There is an ocean of non-traditional, less structured data such as weblogs, social media, email, sensors, and photographs that can be mined not only for useful information but also to make strategic decisions.

Big data is an extremely important topic for future developments, growth trends and similarities between certain things. From a Microsoft blog published in 2013 big data is “the process of applying serious computing power” (HowieT, 2013). Another article describes big data as data that “exceeds the processing capacity of conventional database systems” (Dumbill, 2012). Based on these definitions and many more alike, big data refers to or can be described as recorded information that exceeds capacity. As brief as this is, data can be recorded using many instruments and even through observation. This topic is interesting to research and develop as new technologies are more capable at storing and reading mass data. With technology advancements, a method that took half a day, more than ten years ago, would only take a couple of minutes using present technologies. As big data is getting more widely used more businesses and enterprises will be interested in the trends shown.

• Building new products and services supplemented with Big Data analytics and privacy by design, developing products adapted to European privacy standards . The power and opportunity of big data applications used well, big data analysis can improve economic productivity, drive improved consumer and government services, prevent terrorists, and save lives. Examples include:

In day today world social media and social networking has received much attention from every people, like almost everyone has a Facebook account. This is where huge amount of data is being processed every day, in fact every second where Social networks accounts for large amount of consumer "big data". The average global Internet user spends two and a half hours daily on social media, in this scenario just consider how much data is being generated every minute by every user. The leading social networking sites are handling this big data in efficient way, when it reaches a comparison stage there's no beating Facebook in driving traffic to publishers. According to the data form US news the world's largest social

ig data is a large amount of data, structured as well as unstructured, that records or entails information about business on a daily basis (“Big data: What,” n.d.). This huge amount of data contains information about different aspects but not all this information is important to us, therefore, mining for information through such a large amount of data is a very important step. Most of the time, the magnanimity of such data is so much that it is difficult to process it using conventional database and software programs (Beal, 2016). In this age of modernization, the fame and popularity of the term “Big Data” is constantly increasing. Owing to its renown and eminence, Oxford English Dictionary added it in 2013 and it also appeared in Merriam-Webster’s Collegiate Dictionary (Dutcher, 2014).

Big Data has seen exponential growth in recent years due to the large volumes of social-networking data that is now being produced. While it may be easier for large enterprises to adopt the use of Big Data it is unclear if many small and medium sized enterprises are firstly aware of Big Data and its uses and secondly whether it will actually be beneficial to the business. The project will look at the use, or lack thereof, of Big Data in SMEs and provide a comparison when looking at larger enterprises.