Comparing Yelp, Tripadvisor And Netflix Essay

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)

We are at the forefront of an information revolution. Firms are increasingly relying on data to drive strategic and business decisions. Upstart companies are giving market leaders a run for their money by tapping into advanced data analytics, statistical modeling and open source software. Multi-billion dollar companies like Uber and Airbnb have shown a groundbreaking data-driven way to connect its products & services to their customers. We are living in a world where every customer touch point with a digital device is being recorded and monetized. Every business has to reinvent, transform, and adapt its products and services to meet the demand of its digital savvy customers or face the risk of becoming obsolete.

Big Data is an expansive phrase for data sets so called big, large or complex that they are very difficult to process using traditional data processing applications. Challenges include analysis, capture, curation, search, sharing, storage, transfer, visualization, and information privacy. In common usage, the term big data has largely come to refer simply to the use of predictive analytics. Big data is a set of techniques and technologies that need or require new forms of integration to expose large invisible values from large datasets that are diverse, complex, and of a massive scale. When big data is effectively and efficiently captured, processed, and analyzed, companies

TripAdvisor has allowed its users and customers to share their reviews about the places they visited which helped the company develop the largest database of the reviews associated with all the hotels, attractions and restaurants which act as the guiding light for the others. This continuously brings people back to the site which is the goal of the company and which generates more profit for

Despite the potential challenges, it is still believed that big data is the new way of the world, and that businesses should aim to overcome these challenges. The first typical challenge small businesses will face is finding “talented people who know big data and analytics” (Taylor, 2012, para. 6). Unfortunately, since small business owners tend to not be familiar with big data, then they will be challenged to know how to use it. Big businesses have the money, reputation, and influence to hire people who are very knowledgeable with big data. Also, if the storeowner is technologically challenged, it’ll be even harder for him/her to know how big data can help him or even what big data is in order to go out and look for someone to help his/her store with big data. Even if the storeowner is comfortable with technology and is familiar with big data, the storeowner could be averse to change, and that would be another reason why using big data would be a challenge for this category. The storeowner who is used to doing things a certain way will not be eager to start using big data to improve his business. S/he will probably think that if the business is doing well, then they don’t need to change. This will prevent them from increasing profits and will stagnant them from keeping with current times and current technology. For

In your business, you have your own big data challenges. You have to turn heaps of data about various entities into actionable information. The reporting needs of institutions have evolved from simple single subject queries to data discovery and enterprise-wide analysis that tells a complete story across the institution. While the volume, variety and velocity of big data seem overwhelming, big data technology solutions hold great promise. The way I see it we can use this as one of the biggest asset for the company. We have the capacity to see patterns recounting in real time across complex systems. Huron is marshalling its resources to bring smarter computing to big data. With the Huron big data platform, we are enabling our clients to manage data in ways that were never thought possible before.

Big data is the present most-liked theme of today 's technology. These research goes through all description of techniques and technologies of extracting of the data, storing of data, distribution of data, analyzing of data, managing of data with high velocity and from the structured data and helps in the handling of the extreme data. Big data has the presentation the capacity to improve predictions, saving money and enhancing the decision making process in the fields of the traffic control, weather forecasting, disaster prevention, fraud control, business transaction, education system, health and the national security.

Businesses are struggling with the rapidly increasing volume, speed and variety of information being generated today -- what 's come to be known as big data. Companies are seeking technologies that not only help them process and manage all that data, but tap into it to develop insights about the markets they compete in as well as their own performance within those markets.In addition to the growth in importance of analytics and its prospects for the future, other central themes emerged, including the varied ways in which analytics is structured and managed within these enterprises.

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, 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

In April 2011 the biggest multinational retailer company in the US made clear that Big Data will become a part of Wal-Mart DNA. They purchased Kosmix, a social media start-up focused on e-commerce. They developed a software application which had the ability to search and analyse social media applications (like Twitter or Facebook) in real-time in order to provide personalized insights to users. Now Wal-Mart is Big Data knowledge-empire. An important tool in achieving that has become the Neo4j database.

ct do managers actually have on an organization’s success or failure? Corraborate your answer with real world examples.

The travel portal considers Big Data to be central to its growth strategy in India. According to the

Nowadays the Internet has a huge impact on people’s lifestyle and it changes practically everything. TripAdvisor shows itself as one of the leading websites in hotel and restaurant spheres. For example, the hotels whose ranks are higher have more direct bookings; higher average daily rate and revenue in compare with the hotels whose ranks for 30-40 position lower.

Big data is a concept used for collecting, storing, and analyzing large volume of data and provides decision making and also support optimization processes. Social media plays an important role in taking decisions about any products based on the reviews provided by the user. It accurately tells about the exact opinion of the user regarding the product. Twitter is one