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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
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, 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. Journal entries: Auditors can analyze the chain of command in journal entries, including originator, poster, and approver, in order to identify segregation of duties. Anomaly detection Classification Clustering Forecasting NLP/sentiment analysis Linear regression Monte Carlo simulation Network analysis Process mining
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