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Running Head:DATA-MINING METHODS AND PROCESSES FOR UBER ORGANIZATIONUBERBusiness Intelligence ReportCourse Number: IT415Course name: Business IntelligenceStudent Name: VishwaPrasad GangulaSubmission Date: 04/22/2018
DATA-MINING METHODS AND PROCESSES FOR UBER ORGANIZATION 2Description of the particular processes of data miningBusiness understandingTo run a business requires that the management has plenty knowledge and is determinedto make the best out of the organization. With the activities involved in the business productionand operations that are aimed to add value for the organizational stakeholders, it is necessary tounderstand them so that supportive strategies can be formulated for optimum output. Thereforetaking time to explore the organization and what is expected as the end result is necessary. Thisprocess of business understanding, therefore, deals with exploring the organization anddetermining the necessary data required and the data mining approaches that can be applied toensure that business intelligence is enhanced (Cornerstoneondemand.com, 2018). This processinvolves as many people as possible from the organization as well as outside the organizationsuch as customers to ensure that key discussions are engaged into and results documented well inregard to data mining for the betterment of the organization. Business operations and processesare comprehended through this process of data mining.Data Understanding This is the process of data mining where the data available for mining is closelyexamined. This makes the critical step to usher in the next step of data preparation. When thestep of data understanding is properly run, it assists to avoid unnecessary problems that areunexpected but can be controlled with prior preparation (Holzinger et al., 2014). Therefore dataunderstanding involves acquiring and exploring the data with the help of graphs and tables thatcan be organized on any data mining tool. Doing this helps to determine the data quality and givea comprehensive description of the results that can be documented at the end of the process. Themajor goal of the step is to ensure that general insight is gained regarding the data and this
DATA-MINING METHODS AND PROCESSES FOR UBER ORGANIZATION 3understanding will be significantly helpful in the subsequent steps of the processes of dataanalysis (Aggarwal, 2015). The understanding, therefore, should be driven by the aims andmethods to be utilized in the subsequent steps of data analysis by keeping such methods andprocesses in mind when engaging in the step of data understanding. Data preparation This is the third step of the data mining processes which involves processes such ascollection, cleaning, and consolidation of data into a single table or file with the major aim ofanalyzing the data. In the context of the Uber organization, data preparations refer the

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