Decision Trees from Data: Building Context-Aware Models

Context Graphs: From Outcomes to Decisions ===================================== Most enterprise systems are very good at answering one question: “What happened?” They provide a treasure trove of data on every event, transaction, and interaction that occurs within the system. However, when it comes to more complex questions like “Why did it happen?”, they often fall short. The Limitations of Traditional Approaches Traditional systems use a variety of techniques to answer questions about outcomes, such as: Logging: recording events as they occur Auditing: storing historical data on changes and updates Monitoring: tracking system performance and resource utilization While these approaches provide valuable insights into what happened, they rarely offer any context or explanations for why it happened. This is because traditional systems are typically designed to focus on the outcome, rather than the underlying reasons. Enter Context Graphs Context graphs are a relatively new approach that