ITECH7407 - Data Analytics: Real Time Analytics Data Mining Report

This report presents a comprehensive analysis of data mining techniques, focusing on real-time analytics and SAP predictive analytics within the context of a business analytics project. The report delves into the background information, highlighting the significance of data analysis in identifying patterns, trends, and insights from large datasets, particularly in the context of unintentional positioning and drug-related deaths. It explores the application of classification analysis and the use of SAP predictive analytics tools for business forecasting, including the utilization of automation technologies to enhance customer value, operational models, and digital transformations. The report discusses the benefits of SAP predictive analytics, such as its ability to generate effective results, automate model creation, and provide accurate predictive models, emphasizing its role in machine learning and model management. Furthermore, the research section covers data classification, issues related to poisoning, accidental damages in LMICs, and fire-related damages, providing insights into various factors and risks associated with these issues. Overall, the report offers a detailed overview of data mining, its applications, and the potential of real-time analytics in driving informed decision-making and improving business outcomes.