15 Feb Business intelligence is an umbrella term for many types of data analysis. Descriptive analytics can be used to depict current business conditions and provide new insights into the

Business intelligence is an umbrella term for many types of data analysis. Descriptive analytics can be used to depict current business conditions and provide new insights into the current environment. This type of analysis typically includes a dashboard with a big picture summary of data and the ability to drill down to ever increasing levels of detail. Diagnostic analytics can help to answer the question of why certain patterns exist in the descriptive data by seeking statistical correlations of cause and effect. Predictive analytics examine the historical patterns associated with descriptive analysis and the reasons for those patterns from the diagnostic analysis to predict future business activities. Predictive analytics include a combination of big data, business intelligence, and machine learning, which is a form of artificial intelligence. Prescriptive analytics are used to make recommendations based on the predictive analysis. A big data solution for McDonald’s could involve the use of various data sources such as customer transactions, marketing campaigns, supply chain information, and social media data to gain insights into customer behavior, preferences, and sentiment. These insights can then be used to inform decisions related to menu offerings, promotions, and store operations. To manage this large amount of data, McDonald’s could use a Hadoop-based big data platform that provides scalable storage and processing capabilities. They could also use data visualization and business intelligence tools to analyze the data and generate reports and dashboards. Machine learning algorithms could also be applied to the data to predict customer behavior, such as which menu items are likely to be popular, or to detect any potential supply chain disruptions. These insights can then be used to optimize operations and improve the customer experience. Those were examples of the use of big data for McDonald’s. Describe additional uses. If McDonald’s has a low-cost strategy, explain how the various forms of data analytics could help to keep the costs of products and services low. Make sure you consider where you will get the data for your analysis. You should provide examples of descriptive, diagnostic, predictive, and prescriptive analytics for your business. Please be specific, provide in-text citations and references.