Data analysis

Today, organisations are challenged by voluminous amounts of data, stiff competition in the industry and a fast changing pattern of consumer behaviour. The revolution brought about by an outbreak of unprecedented amount of data and the rapidly expanding technologies and platforms have provided marketers with multitudes of insights into the minds of consumers. Marketing and sales leaders are required to gauge the interest of their consumers in order to communicate messages and develop the…

Purpose of chapter This study develops an understanding of reverse exchange in service sector based on the process of service recovery that they received from the service provider. This research goal is to produce the depth data regarding level of understanding people towards reverse exchange for future research. On the other hand, the purpose of this chapter as below: - 1. To described the research philosophy focus in service sector. 2. To develop research design 3. To propose research method…

Random forest is used in this paper but usually to predict via using univariate method. But this time they used a multivariate method that being Random Forest. Random forest is good for microarray data and shows when the predictive data is “noisy, it can be used when the number of variables is much larger than the number of observations.” Their results in this paper showed that random forest has comparable performance compared to others including SVM and KNN. It also…

companies that could buy one of the best tools still struggle to get actionable insights. Obviously, there is a gap between data and actionable insights, and the bridge is analytics. It is about finding the reason for what we see. The 10/90 rule states that for every $1 you spend on a web analytics tool, you should be spending $9 on the people to analyse the numbers, or the data would not be fully utilized. The…

students to extract value from big data: Summary of a workshop. Washington, District of Columbia: National Academies Press. Retrieved from https://ezproxy.mtsu.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=941883&site=eds-live&scope=site This in-depth report describes and recommends training for students in the use of big data. The report primarily focuses on the need for training, principles for working with big data, and data science curricula. The authors…

targets throughout which helped them become major companies in the coffee market. At last it tells us about the most important difference in both companies which is the four P's being price,product,place and promotion.Thus giving us the comparative analysis of Costa Coffee and Starbucks.Objectives of the…

young children, and most of all, attending countless meetings discussing data are all tasks involved in the teaching profession. Assessments and data collection have been known to be the most popular, disliked task for educators (Center for Comprehensive School Reform and Improvement). Data has become a sole component coming from research materials, developing conclusions, and improving behaviors. In the educational system, data has become a means of measuring goals and objectives that comes…

\section{Dynamic summarization of data streams} We define a data stream $X$ as a possibly infinite data set where each of the samples $x_{n}$ is available only after the time instant $t_{n}$. The arrival time of consecutive samples needs not to be equidistant; i.e., $% t_{n}-t_{n-1}$ may be different from $t_{n+1}-t_{n}$. The data available from the stream $X$ up to a given time instant $t_{n}$, $X_{n}$, is made up by the samples $X_{n}=\{x[0],x[1],x[2],...,x[i],...,x[n]\}$, where each sample…

mass casualty events during the 2022 FIFA world cup. The previous chapter majored on the methodology and the procedure that will be applied for the collection and analysis of data. The primary objective of this chapter is to analyze and discuss the findings obtained through the application of the methodology previously discussed. The analysis sought to expand upon the mimesis within the subject of the PHCC’s preparedness for the 2022 FIFA world cup in incidences of mass casualty. The…

is in selectional restriction of structural variations where one word sometime is more appropriate to be used rather than its counterpart. B. Enormous and Huge 1. Enormous The definition of enormous taken from CAD is very much exceeding the usual size, number, or degree; of great size; huge; vast; immense. Initially, the first line and the other lines from the very first query done from the figure below by researcher directly suggest that enormous is used exactly like what the dictionary defined…