5.4 Presentation: Sales Simulation Srujan Deep Yalamaddi Inform System Infrastructure February 5, 2023 Introduction Business analytics is examined as the process of transforming data into insights to improve company decisions. Business analytics is used to improve operational efficiency through their daily activities (Lee et al., 2020). It also assists business organizations to understand customers more precisely. This presentation will explain the reasons for company to implement business analytics. It select three departments that would benefit from business intelligence. It also explains how artificial intelligence can be used to enhance decision-making in the business organization. Amazon Amazon is an American multinational technology company that focuses on e-commerce, cloudcomputing and online advertising. It was founded on July 5,1994 and is headquartered in Bellevue, WA. Business analytics helps Amazon to track orders and create reports based on business requirements. Reasons for Implementing Business Analytics Enhance Customer Experience: Due to variety of options available, customers are spoiled for choice. To ensure businesses can retain their customer base, they turn to analytics. For instance, Amazon can analyze a customer interaction on their website and past purchasing habits. Reduce Employees Turnover: Every year, companies are required to bear an extensive cost due to employee onboarding and attrition. HR professionals use analytics tools to examine the likelihood of an employee aligning with business culture. Cut Manufacturing Cost: Business analytics helps companies in reducing manufacturing cost and making most of investment. Reasons for Implementing Business Analytics Better product management: When it comes to retain companies, they have thousands of products to offer. Companies can use data to target the right product at the right time, which has positive impact on sales (Mikalef et al., 2019). Identify Frauds: Amazon can begin using analytics to reduce fraud. The company can identify potentially fraudulent purchases based on the analysis of customers previous transactions. Departments that would benefit from Business Intelligence Sales Department: Increased order fulfillment, lower inventory cost, and higher profits. Operation Department: Make informed decisions, drive performance and revenues. Data Analytics Department: BI provides real-time data and makes it easier for companies to track the key performance indicators. Benefits of BI to the Sales Department Business analytics helps Amazon to provide better customer service. With actionable intelligence from BI software, sales team may walk into customer meetings to respond to questions and discuss potential opportunities for cost savings (Nam et al., 2019). Business analytics helps sales department to keep pace with the market competitors and drive sales. Benefits of BI to the Operations Department Business analytics enable companies to convert data into valuable insights to foster accurate decisionmaking. It helps Amazon to organize data so that it can be easily accessed and analyzed. It helps company to score new market opportunities, identify market trends and improve customer satisfaction. Benefits of BI to Data Analytics Department Business analytics enables Amazon to optimize business processes through streamlining operations. It improves employees satisfaction, increase organizational efficiency and support data-based decisions. How Artificial Intelligence Enhances Decision-Making Artificial intelligence helps company leaders and managers to prioritize and make the right decision in each phase from planning to implementation. Artificial intelligence helps Amazon in boosting sales and marketing campaigns. Decision-making applications in artificial intelligence such as Natural Learning Process allows company to understand how customers interact with different brands (Zwakman et al., 2021). How Artificial Intelligence Enhances Decision-Making Artificial intelligence tools like algorithms with machine learning and chatbots offer better understanding of the customer expectations and satisfaction. It allows Amazon to make quick decisions to take immediate decisions through quick analysis of large datasets (Zwakman et al., 2021). AI enhances automation while reducing humanintensive labor and tedious tasks. Conclusion Conclusively, business analytics helps sales department, operations and data-analytics department. Business analytics improves employees satisfaction, increase organizational efficiency and support databased decisions. Artificial intelligence techniques helps Amazon to support real-time decisions and update gathering or forecasting of market trends. References Lee, M., Cai, Y., DeFranco, A., & Lee, J. (2020). Exploring influential factors affecting guest satisfaction: Big data and business analytics in consumer- generated reviews. Journal of Hospitality and Tourism Technology, 11(1), 137- 153. Mikalef, P., Pappas, I., Krogstie, J., & Pavlou, P. (2019). Big data and business analytics: A research agenda for realizing business value. Nam, D., Lee, J., & Lee, H. (2019). Business analytics adoption process: An innovation diffusion perspective. International Journal of Information Management, 49, 411-423. Zwakman, D. S., Pal, D., & Arpnikanondt, C. (2021). Usability evaluation of artificial intelligence-based voice assistants: The case of Amazon Alexa. SN Computer Science, 2, 1-16. Thank You