Can We Trust Big Data Essay

In the video with Jake Porway, he discusses the amount of big data that is available to the population, which is an advantage to everyone. He also discusses how another advantage besides assisting people pick a movies or a restaurant, is how social organizations can use this data to analyze particular occurrences and bring about change for the greater society (Porway, 2012). However, there are some disadvantages to big data. The data can be difficult to assess for those not experienced with using it, and it can be very expensive to hire someone to analyze the data Porway, 2012. The cost can be especially difficult for non-profits to afford (Porway, 2012). In the article by Peysakhovich and Stephens-Davidowitz, the authors explain how knowing how many times an article is clicked on in

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 and its definition has changed over the years. In a 2011 research project by MGI and Mckinsey’s Business’ defined big data as

Big data is an interesting concept, in which people use data to analyze trends, patterns, and associations and make use of these revelations to predict outcomes. You are using data every day that is being recorded to identify people’s desires and requests, and more specifically your desires and requests. Big data is used in retail, government, healthcare, car companies, and education, basically everywhere. Big data can allow for great advancements and prevention in all aspects of life, more specifically in healthcare. Big data is important to healthcare, because it can allow professionals to identify who has a greater risk of a disease and thus allows early detection and prevention. It allows tracking which medicine is more effective than the other. It allows for healthcare providers to have better records and accuracy in each and every patient. Big data is important to healthcare and here is why.

Many health care providers have recognized that big data analytics can provide chances for predicting and discovering tentative needs. It can also help in reducing risks, as well as in providing personalized services more appropriately. Ryu and Song (2014) said that many healthcare organizations and countries have done tried and made many successful cases of big data analysis to solve regular problems in healthcare, like reducing readmissions, rising the effectiveness and efficiency of healthcare, providing better quality of care, and predicting demands for future healthcare services.

The promise of data-driven decision-making is now being recognized broadly, and there is growing enthusiasm for the notion of ``Big Data.’’ While the promise of Big Data is real -- for example, it is estimated that Google alone contributed 54 billion dollars to the US economy in 2009 -- there is currently a wide gap between its potential and its realization.

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

Today, data is a growing asset that various businesses are having difficulty converting into a powerful strategic tool. Companies need help turning this data into valuable insight, which can diminish risk and enhance returns on investments. Companies are struggling to make sense and obtain value from their big data. Superior and reliable

One of the new catchwords in healthcare is “Big Data”. Big Data is commonly defined by the three V’s, volume, velocity, and variety of data (Adamson, n.d., para. 4). I believe Big Data will live up to the hype surrounding it in healthcare. Even though it may take a while for healthcare to understand it and harness what it can do. Cultivating copious amounts of health data from a variety of sources has immense potential for everyone including the patient, healthcare organizations, and research.

By analysing an “unprecedented breadth, depth, and scale” of data, Big Data may benefit society, discovering a positive relationship between therapeutic vitamin B use and delayed AIDS development and tracking the spread of influenza for instance. However, despite the benefits, there are significant privacy concerns surrounding the ability to provide informed consent considering Big Data’s aggregate and unpredictable character. For example, regarding the use of Big Data to track the spread of influenza, Google analysed search terms related to the virus and then plotted users’ locations, without notifying the users, thus arguably ignoring individual informational privacy.

Due to the rapid growth in the use of Internet and its connected tools, an enormous amount of data are being produced on a daily basis. The concept of big data arrives when we were unable to manage this huge data with traditional methods. Big data is a mechanism of capturing, storing and analyzing the big datasets and also an idea of extracting some value from it. It is very handful while determining the root causes of failures, issues and defects in near-real time, creating coupons and other sales offers according to the customers shopping patterns, detecting any suspicious and fraudulent activities in real-time. As it is very advantageous, it also has some issues. Some of the common issues can be characterized into heterogeneity, complexity, timeless, scalability and privacy. The most important and significant challenge in the big data is to preserve privacy information of the customers, employees, and the organizations. It is very sensitive and includes conceptual, technical as well as legal significance.

Also, ‘big data’ analytics and aggregated patient data may be able to alert providers to larger health trends such as potential outbreaks and which flu strains are prominent during each flu season.

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.

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

Big data generally used it to understand customer behavior and policies or customize an offering.