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Final Assessment Questions (6 of 45) SUBMIT An advantage that management accountants have in regard to the skills needed to implement advanced analytics is that

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Final Assessment Questions (6 of 45) SUBMIT An advantage that management accountants have in regard to the skills needed to implement advanced analytics is that they: O Have a holistic view of business and understand how to budget for project costs. O Intuitively understand financial analytics such as net present value (NPV). Have a holistic view of business and intuitively understand the interrelation between financial and strategic business decisions. O Have the technology skills needed. Final Assessment Questions (7 of 45) SUBMIT The point of the data creation, data storage, and business domains cycle is to: O Minimize processing time. O Analyze internal operations. O Better influence the customer. O Create larger market share. Final Assessment Questions (8 of 45) SUBMIT XYZ insurance company began an exploratory project to find ways to reduce claim processing costs. A team of employees from the accounting department identified processes that could be automated using robotic process automation (RPA). The controller is very excited about the project and told the team to move forward. What else, if anything, should XYZ consider before moving forward? O What consulting company to use to help with the implementation. O The only thing to consider is the cost of the RPA software. Involving as many participants from different departments as possible to create a more diverse team, better solutions, and more robust use cases. o Nothing. The accounting department can handle the automation project autonomously. Final Assessment Questions (9 of 45) SUBMIT Cleaning and shaping transactions for aggregation is an aspect of: O Data creation. O Business activity. O Business processes. O Data storage. Final Assessment Questions (10 of 45) SUBMIT BMIT Aggregate data is used by various business domains for: O Business decision making. O Cleaning and shaping raw data. O Auditing internal controls. O Descriptive, diagnostic, predictive, and prescriptive analytics. Final Assessment Questions (6 of 45) SUBMIT An advantage that management accountants have in regard to the skills needed to implement advanced analytics is that they: O Have a holistic view of business and understand how to budget for project costs. O Intuitively understand financial analytics such as net present value (NPV). Have a holistic view of business and intuitively understand the interrelation between financial and strategic business decisions. O Have the technology skills needed. Final Assessment Questions (7 of 45) SUBMIT The point of the data creation, data storage, and business domains cycle is to: O Minimize processing time. O Analyze internal operations. O Better influence the customer. O Create larger market share. Final Assessment Questions (8 of 45) SUBMIT XYZ insurance company began an exploratory project to find ways to reduce claim processing costs. A team of employees from the accounting department identified processes that could be automated using robotic process automation (RPA). The controller is very excited about the project and told the team to move forward. What else, if anything, should XYZ consider before moving forward? O What consulting company to use to help with the implementation. O The only thing to consider is the cost of the RPA software. Involving as many participants from different departments as possible to create a more diverse team, better solutions, and more robust use cases. o Nothing. The accounting department can handle the automation project autonomously. Final Assessment Questions (9 of 45) SUBMIT Cleaning and shaping transactions for aggregation is an aspect of: O Data creation. O Business activity. O Business processes. O Data storage. Final Assessment Questions (10 of 45) SUBMIT BMIT Aggregate data is used by various business domains for: O Business decision making. O Cleaning and shaping raw data. O Auditing internal controls. O Descriptive, diagnostic, predictive, and prescriptive analytics

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