that processes large amounts of data, known as big data. BI gives knowledge and understanding on data by using business analytic tools to presents the information to people such as business managers, CIO’s to make more informed business decisions. It identifies patterns, assess business processes, market trends and other factors to improve cooperate strategies and internal operations.BI brings real-time information to centralized repositories and support analytics that can be exploited at every horizontal
Chapter 1 Introduction The definition of big data is not clear of the exact limits of big data. According to Manyika et al.(2011), big data refers to data whose magnitude exceeds the normal database application tools to store, analyze and manage. From the above definition, it is hard to determine the limits that qualify a dataset to be considered big data. Therefore, an assumption is made that as technology advances, the size and limits of big data will also increase. In addition, it is important
Introduction Big data refers to massive data sets that have large and complex structure which is difficult to store, analyze and visualize for processing and results. The research for large amounts of data to reveal hidden patterns is known as Big Data Analytics (BDA). Big data is used to gain deep insights and competitive advantage. Big data refers to two conditions, the technological challenge which is about dealing with data intensive domains such as high energy physics, astronomy or internet
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Nowadays, big data become more familiar because of its importance and the advantages to the technology world right now. The ability of big data makes data become almost identified as one of the key trends driving change in the 21st century. Data are variously described as the ‘data revolution’ the ‘era of big data’, or more simply known as ‘big data’. So, what is big data? Big data is a term that are describes the large volume of many types of data and both of the data is structured and unstructured
services across multiple asset classes including fixed income and credit, market research, equities, risk analytics and business support in areas such as sales and marketing support, procurement support, regulatory compliance support. Their clientele includes top fortune 200 corporations, mid-tier organizations and boutique investment banks among many others. The firm has offices in Gurgaon,
thinking and solve their decision. Thus, “the big data concept and its applications have emerged from the increasing volumes of external and internal data from organizations that are differentiated from other data bases in four aspects which are volume, velocity, variety and value. Volume considers the data amount, velocity refers to the speediness with which data may be analyzed and processed, variety describes the different kinds and sources of data that may be structured, and value refers
main problem health sector faces is the fact that even though there is more and more data available, most of it is under the form of unstructured data and so it is hard to use it appropriately. Also, veracity of data in a sector in which it is easy to make mistakes (also due to the presence of many unstructured data), errors should be reduced as more as possible to have a good quality of data. To minimize big data problems, many hospitals started to focus in 5 main concepts 18 : • Right provider,
Today, Big Data has changed the way that businesses look at the world and lead their attention to data analytics, especially web data analytics due to the increasingly growth of global web-based business. Actually, there are so many companies are struggling to take advantage of data and put huge monetary investment into web analytics. Unfortunately, most of them misunderstand the main purpose of doing web analytics. The most important part is not collecting data and mastering the data as much as
examples that are cited to explain how this digitization of information has seeped in to every avenue of our communication and information sharing. This insidiously exponential growth of information has proven both to open vast avenues through which data and technology can be used to improve our lives as well as to provide ways through which this information sharing technology can be manipulated to serve purposes that have shady and ulterior motives like cybercrimes, spying and invasion of privacy