What is the main reason for using data analytics in revenue analysis? To provide insights and understanding about revenue growth, revenue drivers, and revenue quality. To provide insights into how revenue recognition is performed in the organization. To provide insights into cash flow and how an organization derives free cash flow. To provide insights into historical revenue trends for financial reporting, When using data analytics to analyze revenue, what is the first task you would typically complete? O Review historical revenue analysis and observations. O Evaluate organizational capability and gaps that may affect the project O Define the objective of the project. O Frame the revenue analysis questions. Which question will not help you assess organizational capabilities and identify gaps? O What are the pricing trends and expectations? O Who owns and maintains the data? Is historical revenue data available in different views? O Is data on pricing and promotions available? At what stage in the data analytics project for revenue analysis would you evaluate data visualization and business intelligence requirements? O At the very beginning of the revenue analysis project. O After reviewing historical revenue analysis but before framing the revenue analysis questions. O After evaluating organizational capabilities and gaps but before considering other factors. O After gathering requirements and considering other factors. When framing the revenue analysis questions, what is not a question you would ask? o What are the pricing trends and expectations? O Who owns the data, and how often is it updated? O What is the projected revenue growth for a future time horizon? O What other factors might affect the revenue trajectory