Match each of the following business use cases with the appropriate data analytics technique. 1. Project management: Managers can predict project costs, schedules, and more using random values such as resource availability, project funding, and more. 2. Managerial accounting: Managerial accountants can perform a break-even analysis to predict the point of loss, break-even point, and profitability of costs. 3. Cost accounting: Cost accountants can simulate cash flows, cost5, variances, and more to understand and plan budgets. 4. Accounting: An accountant in the insurance industry might group unlabeled customer data based on average claim costs or premium payments. 5. Banking: Banks analyze credit card transactions to investigate relationships between people, accounts, transactions, and events. 6. Journal entries: Auditors can analyze the chain of command in journal entries, including originator, poster, and approver, in order to identify segregation of duties. Match each of the following business use cases with the appropriate data analytics technique. 1. Project management: Managers can predict project costs, schedules, and inore using raridom values such as resource wailability. project fundingi and more. 2. Managerial accounting: Managerial accountants can perform a break-even analysis to predict the point of loss, break-even point, and profitability of costs. 3. Cost accounting: Cost accountants can simulate cash flows, costs, variances, and more to understand and plan budgets. 4. Accounting: An accountant in the insurance industry might group unlabeled customer data based on average claim costs or premium payments. 5. Banking. Banks analyze credit card transactions to investigate relationships between people, accounts, transactions, and events. 6. Journalentries: Auditors can analyze the chain of command in journal entries, including originator, poster, and approver, in order to identify segregation of duties