Big Data

Big Data in Media and Entertainment {4}

By Christopher V.

Interest in big data is growing extremely fast in various industries. However it is having great success in the entertainment and media industry. Due to these two areas existing for the sole purpose of consumer interests, big data can majorly affect consumer response if the data is used efficiently. “Most traditional media companies aren’t very good at understanding data. Their pure digital competitors – technology-based media companies Facebook, Google, and Netflix – are the best of breed” (Kim). These companies have been the most up to date and have learned how to use big data more efficiently compared to other companies. Social media websites have also begun to take advantage of big data. “They could use users’ access times and locations to identify insomniacs to advertise sleeping pills, or could analyse data on users’ age and sexual preference to target advertisements for adult products” (Obole). read more...

Big Data in Education {2}

By Kristen T.

Big data has played a part in various industries, from advertising to travel, revolutionizing the world of today. It has especially begun to play a part in the development of education. Recently, companies have been known to aid in the ‘identification of at-risk
students”, “give institutions the predictive tools they need to improve learning outcomes for individual students” and develop better teachers through the use of big data (Guthrie). read more...

Big Data in Engineering {2}

By Steven T.

As technology continues to advance in this day and age, Big Data is becoming more and more relevant in the tech industry. Essentially, big data is known to be a way to access extreme amounts of data containing information that is left as raw data. With that raw data, it is then analyzed in ways where companies utilize the information to see whether or not if there are trends, or patterns, or even capturing data that is useful to their project. In the words of Nick Skytland “But of course, big data is relative. In the end, big data by itself has no value – it’s meaningless. It’s what you do with the data that matters most” (open.nasa) As it continues to grow, many different industries have expanded their technological usage and started to utilize the importance of big data. With that, there are many engineering companies that have expanded their way of collecting important data, like the aerospace industry. read more...

Big Data in Security {2}

By Mario R.

Organization today are getting some extra help when investing or trying to secure their information. Big Data is one of the reasons why they have that extra help, Big Data is allowing organizations to gain knowledge before going into a risk situation. It is allowing for a bigger storage space for companies to store all the information they are gathering from users as well as other sources. Companies are gaining the power to study their opponents or treads before they even make a move. Not only to they gain new knowledge from Big Data but Big Data also allows them to lose dependency from their old outdate systems. read more...

Big Data in the Travel and Hospitality Industry {2}

By: Daniel P.

Big data is becoming more important in areas such as travel and hospitality. Summed up by John Terra, “Big Data is generally defined as the massive influx of information gleaned from a diverse variety of sources, everything from traditional methods such as customer feedback to social networking analytics.” Now that big data is being collected, it can be used to improve travel destinations, give special deals, and encourage customers to purchase everything in one place like plane tickets, hotels, and shows all from the same company. SOCAP President and CEO Matthew D’Uva gives incite, “whether it’s traveling around the corner or around the world, Hospitality, Travel and Tourism companies will play an ever larger role in shaping this activity, and they will use Big Data to do it better and smarter” (Terra). read more...

Big Data and Software {1}

By Matthew N.

Big data has become an integral part of the software industry with the need to develop analytical software. Software engineers need to make sense of structured, unstructured, and semi structured data (Purcell). Effective tools used are the Revolution Analytics language and Apache Hadoop 2.0. New software platforms that involve big data are now moving to predictive analysis. Software developers now need to understand these languages and be able to effectively use them when developing big data analytical platforms. read more...

Big Data in Insurance {1}

By Cathleen O.

Big data handles a large volume of data that is an extraordinary value to any company, because it contributes to business decisions. Enterprises are stored in clusters of data using petabytes (1,000 terabytes (TB) or 1,000,000 gigabytes) of data (Big Data at the Speed of Business). To successfully handle big data, architectures, networks, management, mining and analysis algorithms need to be able to fit the needs of various applications (Jinjun Chen, 2014). Given the wealth of information available, decision makers need insight on data they have collected from customers (Big Data at the Speed of Business). read more...

Big data in Government Services {2}

By Damajaha N.

Government services encompass a wide array of departments and branches that make decision and budgets to provide a better service to its citizens. These government entities are receiving more and more big data by the day. The problem with the mass of data that theses government sectors acquire are facing is, is the information of importance, if not how do they make it of significance, how do they plan to use it, and how do they make it comfortable and acceptable for citizens to understand. There are a few of analytic tool useful that governmental entities can use to significantly improve their services with the collection of big data which are, “Descriptive analytics produce standard reports, ad hoc reports, and alerts; predictive analytics is concerned with forecasting and statistical modeling; and prescriptive analytics focuses on optimization and randomized testing”(Joseph, Norman pg.43). read more...

Big data in the food industry {2}

By Johnathan N.

Big data in the food industry has been growing at an exponential rate in order to keep up with the growing trends. What big data means in the food industry starts with farming and how big data affects the agriculture industry. Then it leads to big data influencing food companies and restaurants and how these companies use this data to better serve the consumers. This not only affects the food industry but also the beverage industry in terms of optimizing delivery and supply to grocery stores and vending machines. read more...

Big Data in Marketing & Advertising {2}

By Saswata M.

Although the concept of marketing and advertising has been in existence for decades, the idea of incorporating big data is still unfamiliar territory for large amount of companies today. In the past few years, the footprint of the internet has exponentially grown and is now at the forefront of the evolution of the marketing industry. Big data has the potential to completely transform the field of marketing and advertising as it currently stands (Court, 2013). Companies such as Amazon, eBay, and Netflix are starting to change their strategies when it comes to promoting their products. As we get further and further engulfed into the digital age, it’s only a matter of time before the greater number of companies understand the true benefits of incorporating big data and realize that the increasing amount of packets traveling across the network are actually gems waiting to be mined. read more...