Analytics Essay - 744 Words

Direction of predictive analytics in higher education The current challenges in analysis of student data is that it is gathered by various organizations and departments located in different geographical positions. In future, institutions of higher learning will integrate the all these information collection and storage points. For instance, the data on student grades, the latest course logins and attendance will be correlated to produce a more in-depth analysis of the student’s progress. Also, the system will be intelligent in that it will be able to learn from the previously collected data and offer suggestions. According to an interview of the Chief Operating Officer (CEO) heading the online Arizona State University portal, advanced use†¦show more content†¦During the interview, Aull said that predictive analytics provides tools to look under the rocks in an attempt to identify the areas which face challenges thereby enabling specialized problem-solving. Soon, predictive data analytics will provide a refined synthesis of collected data which will produce in-depth outcomes that can be applied in all sorts of situations. In the selection of courses, the data collected from social media, school’s electronic swipe cards, departmental data among other sources could enable the matching of students with the appropriate professors and subjects or programs. One such program is being applied by the Regents Online Campus partnership which begun the pilot program in 2012 by using a predictive data analytics tool from â€Å"Desire2Learn†. An emerging issue in the implementation of advanced data analytics in higher education is taking risks. The universities have to consider the repercussions of applying the actions supported by the outcomes of the data analysis of student data. Therefore, universities degree of risk taking will be put to the test. The question being asked is the ability of the schools to invest in an idea or course of action that may end up producing adverse effects such as loss of money, further reduction inShow MoreRelatedEssay On Analytics901 Words   |  4 Pagesmachines through the Internet of Things. Generating timely insights and predictions has become crucial to capitalize on fast-moving business opportunities. With business analytics now focused on the future, predictive and prescriptive analytics are taking a front seat. As a Lead Assistant Manager with EXL Services Decision Analytics, I have gained essential skills in model development and monitoring while enabling the business to predict and mitigate losses. I aspire to extend my knowledge on multipleRead MoreEssay On Business Analytics876 Words   |  4 PagesApplication of Business Analytics An increasing amount of businesses are exploring this new concept of analytics. 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