Rewrite this Speaker Note:$]$ In the context of Sun International's operations optimization, the type of data required encompasses various aspects of their hospitality and gaming business. This includes customer transaction data, hotel occupancy rates, gaming revenues, customer feedback, operational expenses, employee performance metrics, and market trends. These datasets will enable us to conduct comprehensive analysis across different business functions and identify opportunities for improvement.When assessing data quality for this situation, we'll focus on the accuracy, completeness, and consistency aspects of the data quality framework. Accuracy ensures that the data reflects the true values and is free from errors or inaccuracies. Inaccurate data could lead to flawed insights and misguided decisions. Completeness ensures that all necessary data points are included without any missing values, providing a comprehensive view for analysis. Incomplete data could result in biased conclusions and incomplete insights. Consistency ensures that data is uniform and standardized across different sources and time periods, allowing for meaningful comparisons and trend analysis. Inconsistent data could lead to unreliable conclusions and misinterpretation of trends.By assessing and ensuring the accuracy, completeness, and consistency of the data, we can have confidence in the reliability of our analysis and the validity of the decisions made based on the insights derived. This will ultimately support Sun International in making informed decisions to optimize their operations and drive sustainable growth and profitability.