elaborate on data mining process as per the CRISP-DM model

REGENT BUSINESS SCHOOL (RES) - JANUARY 2022 5' BACHELOR OF COMMERCE YEAR 2 - ACADEMIC AND ASSESSMENT CALENDAR - DISTANCE 1.2 Determine what are the types of data that Tesla could use for collection and analysis for its decision-making process? elaborate on each type and include relevant examples of how each type could be applied to benefit Tesla. (24) 1.3 Determine any four tasks that NLP tachnology can perionn for Tesla. {4] QUESTION TWO [30] 2.1 Tesla gathers large amounts of data used as insights for decision making and designing its ears. Advise Tesla about the following: (a) Developments of data and relevant measures they can apply (8) (b) Regulations and standards they need to have in place to safeguard their data and governance processes. (12) 2.2 Determine the risk exposures and challenges Tesla should be aware of as part of their data management operations. (6) 2.3 Examine any two types of data security breaches that Tesla could be exposed to. (4) QUESTION THREE [30] "Tesla has clearly always been a company which has put data collection and analysis at the heart of everything It does." Answer the following questions with regards to data analysis and data mining: 3.1 Discuss the steps in the data analysis process. (6) 32 Identity and examine six challenges that Tesla may experience during the data analysis process. (6) 3.2 Elaborate on the data mining process as per the CRISP-BM model. (1 B)