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RapAnalyst turns multi-dimensional data into insightful information, both visually and quantitatively. By displaying data in an easy to interpret visual format, RapAnalyst allows any corporate decision maker - not just statisticians, actuaries and other experts - to understand and interpret the relationships hidden within massive and complex data sets, thus empowering them to quickly identify opportunities and make decisions with confidence. RapAnalyst uses a combination of several leading edge AI (Artificial Intelligence) technologies, which work together in a unique and proprietary implementation called a "Knowledge Filter". Each attribute in the data set is given its own Knowledge Filter. During the data analysis process, the data is "clustered" into groupings of similar nodes. The nodes from one Knowledge Filter can be easily compared to the nodes from other Knowledge Filters, allowing the user to see relationships between attributes that would have been difficult or impossible to recognize using traditional data analysis techniques. In addition, the Knowledge Filters can be statistically quantified, or used for predictive analysis and test scenarios. Unlike traditional statistical techniques, RapAnalyst shows the relationships between ALL attributes in a data set, as opposed to targeting specific attributes that are assumed to be relevant. This allows RapAnalyst to deliver very high levels of predictive accuracy, even when dealing with data that has missing values or has been poorly measured. This approach also greatly simplifies and shortens the data collection and preparation process. RapAnalyst enables corporate decision makers to quickly and easily see relationships in their data - relationships which contribute directly to problem solving, quality improvement initiatives, customer satisfaction and business decision-making. For more information, see Services. | |||||||||||||
