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DQ1 Review the "Big Data Ethics: 8 Key Facts To Ponder" Topic Material. Discuss specific ways that you can apply a Christian worldview when accessing, collecting, and analyzing data within a business setting. Include discussion of why awareness and understanding of ethical issues is an important part of being a data analytics professional. Support your ideas with relevant industry examples. Read "Big Data Ethics: 8 Key Facts to Ponder," by Morgan, from Information Week (2015). URL: https://www.informationweek.com/big-data/big-data-analytics/big-data-ethics-8-key-facts-to-ponder/d/d-id/1322143?image_number=3 DQ2 How did you determine the data timeframe to review? Why did you select the data that you used for your analytics project? Why did you exclude other data? What barriers can you come up against when trying to obtain data (i.e., confidential data, personal data, or personnel data)? Assignment Now that you have identified the business problem and translated it into an analytics problem, you can now identify the data needs and acquire the data. Provide a 500-1,000 word paper that, at a minimum, identifies the data needs in terms of the following: What is needed? Be specific for each variable (e.g., Monthly Sales last 12 months, Number of Monthly Customers last 12 months).How can the data be obtained? When can the data be obtained?For each data variable, identify the specific type: Are they measured data (continuous, e.g., how long does a customer stay in the retail store?) or counted data (discrete, e.g., how many customers came to the store from 1 p.m. to 2 p.m.?).Also, assess whether the available data can be used to address the specific analytics problem statement identified in the Topic 2 assignment. Provide the raw data that you will be using for subsequent assignments. Place the dataset into an Excel file. Ensure that column headers are provided that clearly identify the meaning of each data variable. As needed, provide the necessary information in the file so data values can be interpreted. If there are concerns about proprietary issues related to using company data, you can change your dataset accordingly. Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required. This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.