https://speakerdeck.com/srcas 2026-10-17 02:48:18 -0400 Prescriptive Analytics is a type of data analytics that recommends the best course of action by analyzing data, predicting possible outcomes, and evaluating different alternatives. It uses techniques such as artificial intelligence, machine learning, optimization, and simulation to help businesses make effective decisions. For example, a retail store can use prescriptive analytics to determine the right stock levels, optimize staff schedules, reduce costs, and improve customer satisfaction. Prescriptive Analytics is a type of data analytics that recommends the best course of action by analyzing data, predicting possible outcomes, and evaluating different alternatives. It uses techniques such as artificial intelligence, machine learning, optimization, and simulation to help businesses make effective decisions. For example, a retail store can use prescriptive analytics to determine the right stock levels, optimize staff schedules, reduce costs, and improve customer satisfaction. Sat, 17 Oct 2026 00:00:00 -0400 https://speakerdeck.com/srcas/prescriptive-analytics https://speakerdeck.com/srcas/prescriptive-analytics Data analysis is the process of collecting, organizing, cleaning, and interpreting data to identify meaningful patterns, trends, and insights. It helps businesses make informed decisions, improve operational efficiency, solve problems, and achieve organizational goals. Various tools, including Microsoft Excel, SQL, Python, and Power BI, are used to analyze data and present findings through charts, tables, and reports. Data analysis supports performance monitoring, forecasting, cost reduction, and identifying improvement opportunities. By transforming raw data into useful information, organizations can understand business performance, recognize risks, measure results, and develop effective strategies for continuous improvement and better decision-making. Data analysis is the process of collecting, organizing, cleaning, and interpreting data to identify meaningful patterns, trends, and insights. It helps businesses make informed decisions, improve operational efficiency, solve problems, and achieve organizational goals. Various tools, including Microsoft Excel, SQL, Python, and Power BI, are used to analyze data and present findings through charts, tables, and reports. Data analysis supports performance monitoring, forecasting, cost reduction, and identifying improvement opportunities. By transforming raw data into useful information, organizations can understand business performance, recognize risks, measure results, and develop effective strategies for continuous improvement and better decision-making. Sat, 17 Oct 2026 00:00:00 -0400 https://speakerdeck.com/srcas/data-analysis https://speakerdeck.com/srcas/data-analysis