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A brief explanation of the big data phenomenon
benefit and disadvantage of Big Data
benefit and disadvantage of Big Data
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Recommended: A brief explanation of the big data phenomenon
Big Data is a concept that has existed for a while, but only gained proper attention a couple of years ago. It can be described as extremely large data sets that have grown so big that becomes almost impossible to manage and analyze them with traditional data processing tools. Big Data can be used by enterprises in by building new applications, improving the effectiveness, lowering the costs of their applications, helping with competitive advantage, and increasing customer loyalty. It can also be used in other industries to enable a better system and better decision-making. Big Data has become a valuable asset to everyone around the world and continues to impact society today. The ideology of Big Data first came up in the days before the age …show more content…
These terms explain the impact and implications of a well thought through Big Data strategy. The first term, volume, refers to the enormous amount of data that encompasses Big Data. Velocity is the increasing rate at which data flows into an organization. Big Data has a variety of structured and unstructured data in things such as text, audio, video, log files, and more. Veracity refers to Big Data being able to be available now, but also still be available from the archival sources as …show more content…
These obstacles include the wholesomeness of the data, analytical knowledge, an understanding of statistics, and several other philosophical and educational challenges. Gathering the data is usually half the battle in the analytics game. The data collected could include social networking information, sales lists, real estate listings, product lists, and product reviews and can be gathered into structured storage and analyzed. The gathered data proves to be a valuable resource for businesses that look to analytics in order to enhance their market
In the past number of years data has grown exponentially. This growth in data has created problems that and a race to better monitor, monetize, and organize it. Oracle is in the forefront of helping companies from different industries better handle this growing concern with data. Oracle provides analytical platforms and an architectural platform to provide solutions to companies. Furthermore, Oracle has provided software such as Oracle Business Intelligence Suite and Oracle Exalytics that have been instrumental in organizing and analyzing the phenomenon known as Big Data.
The characteristics of this unstructured data are high in volume, high velocity, or high variety and complexity. Big data comes from sensors, devices, video/audio, networks, log files, transactional applications, web, and social media - much of it generated in real time and in a very large scale.
Big Data is a term used to refer to extremely large and complex data sets that have grown beyond the ability to manage and analyse them with traditional data processing tools. However, Big Data contains a lot of valuable information which if extracted successfully, it will help a lot for business, scientific research, to predict the upcoming epidemic and even determining traffic conditions in real time. Therefore, these data must be collected, organized, storage, search, sharing in a different way than usual. In this article, invite you and learn about Big Data, methods people use to exploit it and how it helps our life.
Big Data has gained massive importance in IT and Business today. A report recently published state that use of big data by a retailer could increase its operating margin by more than 60 percent and it also states that US health care sector could make more than $300 billion profit with the use of big data. There are many other sectors that could profit largely by proper analysis and usage of big data.
From a business perspective, utilizing web analytics aids companies earning profits and increasing their return on investment (Matous, 2015). In spite of the importance of web analytics, it will not stand alone to help the company if
The key strategy implementation efforts at Amazon all surround the use of “big data”. Big data is the growth and availability of large volumes of structured/unstructured data. The use of big data has allowed decision making based upon data and analysis instead of past experience and intuition. Big data has directed organizational change in allowing Amazon to expand from an online book store to an internet giant. Revolutionary application of big data has allowed Amazon to create superior service quality while motivating employees by providing real time information to solve customer issues. Big data has strengthened Amazon’s competitive capabilities by pioneering the application of big data and charging a monthly fee to smaller businesses
Companies have transformed technology from a supporting tool into a strategic weapon.”(Davenport, 2006) In business research, technology has become an essential means that many organizations use in their daily operations. According to the article, Analytics is a major technological tool used. It is described as “the extensive use of data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive decisions and actions."(Davenport, 2006) Data is compiled to enhance business practices. When samples are taken, they are used to examine research and understand how to solve problems or why situations are as they are. Furthermore, in this article, Thomas Davenport discusses analytics from a business standpoint. He refers to organizations that have been successful in their usage of data and statistical analysis. In addition, he also discusses how data and statistics can be vital in the efforts to improve the operations of businesses.
You may ask what big data analytics is. Well according to SAS, the leading company in business analytics software and services describes big data analytics as “the process of examining big data to uncover hidden patterns, unknown correlations and other useful information that can be used to make better decisions.” As the goal of many companies which is to seek insights into the massive amount of structured, unstructured, and binary data at their disposal to improve business decisions and outcomes, it is evident why big data analytics is a big deal. “Big data differs from traditional data gathering due to that it captures, manages, and processes the data with low-latency. It also one or more of the listed characteristics: high volume, high velocity, or high variety. Big data comes from sensors, devices, video/audio, networks, log files, web, and social media which much of it is generated in real time and in a very large scale.”(IBM) In other words, companies moving towards big data analytics are able to see faster results but it continues to reach exceptional levels moving faster than the average person can maintain.
The world is changing every day with flowing and scattered information. There are about 80% of data existing in unquantifiable content, like images. The challenge today is to put all data together and make the right decisions or gain faster insight about your customers, competitors, new goods and services. Analytics help companies to draw the picture of what the customer’s want, who they are, the buying patterns by analyzing different data such as demographics, product purchase history or internet experience. Analytics help turning data and information into insight and company can develop their own comprehensive strategies to gain the competitive edge.
In this article Hormazi, Amir, Giles, Stacy mention the importance of Data mining and how it has now become an indispensable tool for every industry. Data mining allows people to access valuable information of large amounts of data collected to be organized to gain an upper hand versus other competitors. This tool allows insurances, financial and retail institutions to access information on their consumers at the speed of light by narrowing down specific information.
Big data is a sort of catchall phrase that can be used to describe a massive volume of fast-moving data, which exceeds the current processing capacity of most enterprises; as standard tools and procedures are not designed to store and analyze these massive datasets.
Now days, companies are searching for new ways of gathering data so that they can get useful data in order to make well informed decisions regarding the market they are operating in. Google analytics is considered one of the best tools offers extensive amount of data to business owners for free. However, the success of business is highly depended on how well they can arrange data and customize their collected data corresponded to their business priorities. Google analytics provides beneficial information for companies regardless of their extent of operation.
Big data is a concept that has been misunderstood therefore I will be writing this paper with the intentions of thoroughly discussing this technological concept and all its dimensions with regard to what constitutes big data and how the term came about. The rapid innovations in Information Technology have brought about the realisation of big data. The concept of big data is complex and has different connotations but I intend to clarify its functions. Big data refers to the concept of a collection of large and complex amounts of data that are found extremely difficult to notate or even process by most on-hand devices and database technologies.
Analytics means using data and performing statistical analysis on it, applying quantitative and predictive models, in order to arrive at a certain decision. Analytics can be the first step in a process or can rather be an intermediate step as well. Analysis can be done using different set of tools that are available in the market or it can done manually using different concept and formulas. Business intelligence firms like Cognos, SAS and BusinessObjects have developed different tools that are readily available in market that assist in analysis and decision making. Analytics is used in order to find solutions to the problems and the solutions provided enables us to be successful and in the business world allow us to compete with our contenders.