Question 4 a. Big data analyzes millions of pieces of data to produce materials that appropriately fit consumers. There is a plethora amount of information about consumer habits and trends, especially about what, when, how and why consumers buy. It is vital for organizations to put that data to use. b. Disney collects big data from their newest, 'Magic band.' The Magic band allows attendees to enter the parks, unlock hotel rooms, and buy food and merchandise. Also, the band unlocks special…
demographic data parsed through their predictive models, moreover they could presume the gender of the child and the progress of the pregnancy. The recent use of big data and data mining for business, personal and security related advantages have had questionable ethics between consumers and enterprises alike. However, the definitive benefits produced by big data undoubtedly exceed the potential risks that may present themselves over time. The collection and processing of substantial volumes of…
This is because many previous studies showed that networks of human travel patterns have a big impact on the spread of different arboviral diseases. Hence, by employing the United States air travel passenger information data, through an open-source software Gephi, network parameters of human travel patterns like degree centrality, betweenness centrality, closeness centrality and hubs were…
arrange the large amount of data in to clusters.MapReduce came in to picture as it is effective in handling and processing the large amount of data.The main aim of the MapReduce is to read the data and filter the data according to the business logic.we are going to discuss more about the MapReduce in the following business problem. Business Problem: The main problem in todays industries are facing the excess amount of data in there data storage to retrieve or place the data in an order .The…
Enterprise Systems are large scale, integrated application software packages that use the computational, data storage, and data transmission power of modern information technology to support business processes, information flows, reporting, and data analytics within and between complex organizations (Williams and Duff, 2002). Operational excellence is the quest to reliably meet and exceed customer expectations with cost effective and efficient operations. It is the pursuit of conducting…
Six Sigma asserts these activities have to be investigated as they could represent issues in a business process. Based on these assumptions, a high Z-score in the data would be an indicator of unexpected abnormalities. Thus, this research can assess the effectiveness of data-driven IC by creating a volatility function to quantify the fluctuation of IC activities. The usage of the volatility feature is prevalent in the area of finance and economics. The most famous is…
Big Data you will notice big corporations like IBM, SAS, Oracle providing enterprise solutions with punch lines “Transform Your Business” and “Big Data Can Generate Big Brainstorms” promising business growth. The reality behind investing in Big Data analytics is still hidden. Today we have the tools to analyze massive amount of data but we still lack the expertise to derive correlations from it. In the public realm finding relation between health and air pollution can be an example of Big Data…
Divide and Conquer Strategies: Divide and conquer is an algorithm which design paradigm based on multi-branched recursion. This designed paradigm consists of following phases: 1) Break the problem (divide): Breaking the problem into several sub-problems that are smaller in size. 2) Solve the sub problem(conquer) : Solve the sub-problem recursively . 3) Combine the solutions (Merge): Combine solutions to subproblems to create a solution to the original problem. This technique is the basis of…
Power is a great strength to carry in your luggage. It gives us the capability of accomplishing our dreams and hopes. But what happens when we are no longer in control of our own power? And if our power gets out of hand are we still able to look ourselves in the mirror with dignity? This is shown in the highly rated Netflix series House of Cards which some might believe has roots from one of the greatest Shakespeare stories Macbeth. Robert Snow is one of those who believe that House of Cards is…
A traditional traffic model for circuit switched data as well as packet data is the Poisson process in which the number of incoming packets per time is according to Poisson distribution. It is one of the most widely used and oldest traffic models. In this model the length of each packet is based on exponential distribution and the number of simultaneously ongoing packets is according to Erlang distribution [16]. The Poisson process is characterized as a renewal process. In a Poisson process the…