The Ethics Of Collection Practices And Use Of Big Data Essay

The amount of data produced in the world is increasing exponentially, and we are a part of this phenomenon. We all use email, phones, social media, and credit cards. The new technologies that we are bringing home, such as smart cars and smart TVs, are collecting more and more data. Boyd and Crawford exposed the imperfections of the Big Data industry, and they have shown that we cannot assume that the industry will solve its own problems. By using all these technologies, we have given Big Data access to our finances, social interactions, homes, and minds. Big Data offers imperfect people tools that can be used for good and evil. If we are blind to how our data is being collected, the industry will continue misusing our data. But if we pay attention, and demand the technology companies respect our privacy, they will be forced to have higher standards. Currently, our society has ignored how our privacy is being jeopardized. As Boyd and Crawford noted, we don’t have the tools and access of researches, and our often unaware of the algorithms collecting our information (759,760). But we do have power. We can voice our concerns, or find alternatives to services that don’t respect us. We can use the tools we have access to for good, just like Big Data has been used

Big Data is the act of compiling large sets of data based on a single individual or groups. Everyone encounters data in their daily life--you are experiencing it when you log onto a social media account, when you stream entertainment online, or even when you are online shopping. When you do any of these things you are leaving behind a digital trace that can be accessed by just about anyone. In “Six Provocations for Big Data,” danah boyd and Kate Crawford raise questions regarding the nature of Big Data. What is considered public information? What is the ethical way to go about retrieving data from online sources? Is Big Data more harmful or helpful? How often do you encounter Big Data, or data in general? What is the relationship between data

Business thrive when they have the most accurate, up-to-date, and relevant information at their disposal. This information can be used for a plethora of pertinent markers in small and large businesses, relating to accounting, investments, consumer activity, and much more. Big data is a term used to describe the extremely large amounts of data that floods a business every day. For decades, big data has been a growing field, facing controversy on many levels, but as of late, it has been a major innovator in the challenge of making businesses more sustainable. Big data is often scrutinized for its over-generalization and inability to display meaningful results at times. When applied correctly, data analysis can bring earth-altering information to the table.

Businesses using data is not a new concept; however, the role of data within industries has increased dramatically over the years to the point that it is essential for a business to understand how to handle data in order to continue operations. In today’s bustling digital age, professionals credit a certain type of data called “big data” with helping businesses gain insight on consumers. Big data is created whenever you travel to your favorite restaurant, make a particular move in a video game, swipe your card to purchase your favorite pair of Crocs, or tell your Facebook friends what you had for breakfast. It is data that is too large to be captured and processed by standard business

The industry is inundated with articles on big data. Big data news is no longer confined to the technical web pages. You can read about big data in the mainstream business publications such as Forbes and The Economist. Each week the media reports on breakthroughs, startups, funding and customer use cases. No matter your source for information on big data, one thing they all have in common is that the amount of information an organization will manage is only going to increase; this is what’s driving the ‘big data’ movement.

With the wide spread internet and improvement in technology the big data field have expanded at various fields like banking, finance, social network etc. This paper reviews how the data is being exposed on the internet and gives scope for the infringement of privacy; also I will review a variety of electronic tools/methods that helps in protecting users’ privacy as well reflect upon how much less people know about these infringements but how much more is happening. Also, I will review some of the rules that exist to protect the privacy of users online.

As a result of the appearance of big data in our world, conventional data warehousing and data analysis methods no longer have the process power needed. What is Big Data you may ask and why is it such a big deal. NIST defines big data as anywhere “[…] data volume, acquisition velocity, or data representation limits the ability to perform effective analysis using traditional relational approaches […]” (Mell & Cooper, n.d.).

This paper will look at some of the ‘Big Data’ being implemented today. Regardless of ow anyone feel, ‘Big Data’ s a thing that is not going away. This paper will look at Video and Image Data, Audio Data, Textual Data, Managerial Accounting.

Big Data. What is big data? As it becomes a more relevant part of the business world, this report covers how to use it, what its benefits are, and what fields it works well in.

Now that we have figured out how to harvest the free and ubiquitous big data, the next huge challenge is to figure out how to analyze and display the information in a useful and meaningful way. The big question today is how you present big data in a way that human beings can quickly understand and make decision. Most big corporations and government entities are drowning in a pool of their own data, because they lack the corresponding manpower to understand the data and extract meaningful knowledge out of it (Bizer, Boncz, Brodie, & Erling, 2012).

Big data is not as new as many people believe it to be. It is actually a concept that has been around for almost a century. It is just the “same old data marketers have always used, and it’s not all that big, and it’s something we should be embracing, not fearing” (Arthur). In 1944, Fremont Rider “predicted that the amount of data in the world would increase exponentially” (Hopp). Rider was right on target with his prediction seventy years ago. Data has grown much greater than he probably could have ever imagined back then.

The rise of big data analytics has affected the 21st century American economy and businesses in many positive ways. One area where it is lagging, however, is the healthcare industry. For years, America has paid more for healthcare than any other country on Earth. This can be attributed to a number of reasons, but a large factor among these is the inefficiency of the current healthcare system and its failure to adapt to cost-saving analytics like other industries have. That is where big data analytics can step in and serve a great purpose. Big data is the process of taking mass amount of information across different, but interrelated areas in order to derive deeper meanings, insights, trends, and analysis through the usage of high-speed, high-capacity algorithms. This can be huge when one considers that as of 2014, there are 44 petabytes of information on patients in the electronic health records system. (Raghupathi) This can include medical history, imagery from patient scans, lab results, and a vast array of other information. Couple this information with the push to integrate individual’s social media posts, personal DNA sequencing, and vital data collected by smartphones and wearables, just to name a few, and it becomes evident that we as a species will be generating exuberant amounts of medical data. There are some people, however, who feel that having this information integrated into any kind of database poses a risk to the privacy of their most personal,

Databases have been around long before the computer first utilized them, but they became a necessity as the industry has been using them now for over 40 years. Everything is a database now, your inventory, your class schedule, your closet, it is all a possible database. Arora and Gupta state, “Stand alone applications have been replaced with web-based applications, dedicated servers with multiple servers dedicated storage with network storage” (Arora and Gupta 2012). There have been several movements to try and change the database environment, however attempts to replace the relational database with the object-oriented database never came to popularity and relational databases popularity remains high today.

Tom Davenport, an author specializing in business intelligence, analytics and business process innovation, defines big data in his recently authored book “Big Data at Work: Dispelling the Myths, Uncovering the Opportunities” as “The broad range of new and massive data types that have appeared over the last decade or so.”

Kitchin proposes that there are three main sources of big data : directed, automated and volunteered. He describes direct data as generated by traditional forms of surveillance, automated data as “generated as an inherent, automatic function of the device, application or system” and volunteered data as a form of “crowdsourc[ed] data wherein users generate and contribute data to a common system”. The hype of big data is the sheer amount of data that can be collected and processed, which has been touted to enable optimal performance, predict urban processes and simulate outcomes for future