### VisiRule Analytics

# Gain Insights with VisiRule Analytics

VisiRule Analytics allows you to see how your intelligent decision tree flow charts are being accessed by customers, staff and prospects. You can deliver your charts as ChatBots or web apps. Understanding how your charts are used, and by whom, helps you gain valuable insights into your current solutions.

## Conclusion driven analytics

Data can be seen both from a global view, and partitioned by conclusion. This means you can spot variations across the different conclusions. You can even see the analytical data in situ in a map of the chart.

### Session Logs

Each user session is recorded in a log file. VisiRule records which questions were asked, what the answers were and what conclusion the Expert System reached. VisiRule can aggregate and analyse these paths to produce some useful statistics and interesting insights into how users are using any specific chart.

### Partitioned Analytics

VisiRule provides access to aggregated data globally (i.e. all sessions aggregated) and also partitioned by the reached conclusion. This partitioning allows you to see the variance in data between the different conclusions reached.

### Question Analytics

VisiRule can calculate basic data for both discrete and continuous questions. For discrete questions, VisiRule Analytics will tell how often each option was selected. For continuous questions, VisiRule Analytics will calculate the mean, minimum and maximum values, as well as the standard deviation. The standard deviation is a measure of the amount of variation or dispersion of a set of values.

### Statement Box Analytics

VisiRule can calculate basic data for both discrete and continuous statements. For discrete statements, VisiRule Analytics will tell how often each option was calculated. For continuous statements, VisiRule Analytics will calculate the mean, minimum and maximum values, as well as the standard deviation.

### Intelligent Analytics

By comparing partitions, you can sometimes better understand the clustering associated with different behaviours. You may even think of ways to improve the original chart in light of the partitioned data. This corresponds to seeing which executed Business Rules are being used, by whom and when.