Data Analytics And Analysis Data Science - 1619 Words

Data analytics and analysis are often used in conjunction with one another, and can be applied in variety of situations, enterprises, and domains. Data analytics and analysis often fall under the umbrella of data science, which is the discipline associated with structured and unstructured data [1]. However, there are altering views of what each term represents, as well as how they are interrelated. One source describes analytics as a subset of analysis, with analysis being the larger entity [2]. They describe analysis as the sum of human activities driven to gain insight into the given dataset, with or without exceptional data processing techniques applied [2]. The exceptional data processing techniques falls under the analytics portion of analysis, which encompass many advanced statistical tools and machine learning algorithms. Figure 1 outlines this author’s view on analytics versus analysis, with increasing technical specialty as one moves from data science (broad discipline) toward data analytics. Figure 1: Data Science Overview [2] In a recent interview with David Kasik, the senior technical fellow of Boeing’s visualization and interactive techniques sector, he was asked this very question (what the difference is and similarities of data analysis and analytics?). In his domain specific terminology, he answered the exact opposite from the previous author’s description [3]. Instead, his vast enterprise considered data analytics the broader term encompassing dataShow MoreRelatedPersonal Statement : Marketing And Finance804 Words   |  4 PagesPersonal Statement Growing up in a business background where my family had been in the international trade business for the last hundred years, I was always amazed to see how data science gradually involved in our family business. 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