Posted: October 6th, 2022

USC In 2016, I was able involved in the design of a capstone project for my qualifications at University of Washington

 

USC

In 2016, I was able involved in the design of a capstone project for my qualifications at University of Washington. During the completion of the capstone project, I faced various challenges including the demand to develop proper project schedule, the need to develop proper diagrams and drawings, and it was difficult to develop a proposal for improving the green lake conditions. The key challenge was in the decision making area due to the presence of numerous data that requires proper analysis before making the final decisions.

To deal with the challenge of the capstone project, I was able to approach the challenge of making informed decisions through big data analytics to resolve the problems. The model of big data analytics was extremely essential in assessing the large units of data and discovering the data correlations based on the current information. The identification of the potential patterns and trends of the large data sets make it possible for me to making good decisions from the alternative options. For example, the development of project schedule relies on the big data analytics to determine the key priority areas that would enhance efficiency in the designing of the project schedules.

In addition, the big data analytics helped to develop timely insights about the potential decisions, getting specific actions for resolving major problems as well as promoting effective utilization of the IT resources. The approach of big data analytics was implemented through certain critical perspectives including data management, in-memory analytics, and predictive analytics. The predictive analytics involved the use of data and machine learning tools to determine the future results based on the past data. https://www.appessaywriters.com, https://www.appessaywriters.com, essaybay-usa.com, essay cola, write my essay, dissertation writing service, writer my paper, homework help The perspective also offers best assessment on the potential outcomes in the future of the project. The application of the predicative analytics makes it possible for the organization to detect the potential risks facing its project implementation.

The predictive data analytics helped to improve the conditions of green lake by setting proper programs and guidelines for the implementation of the green lake programs and principles. It is because the model helped to forecast on the future scenarios and probable actions to improve the green lake environment. Data management helped in the establishment of continuous programs to develop advanced standards for improving the quality of data.  Data mining also helped to conceptualization each decision area and considerations through discovering the critical data patterns.  The data patterns helped to project the likely outcomes from the project based on the available data.

The big data analytics also incorporated the in-memory analytics approach in an effect to determine the critical insights from the data.  Such data technology helps to remove the limitations of data analytical processes through the creating of models and testing of the varied scenarios. The aspect of in-memory analytics also made it possible to perform interactive analytics assessments. Based on the usefulness of big data analytics, I believe that it is important for me to further my education and knowledge on big data analysis.

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