ViVE Comply
Compliance Dashboards offer objective, fact-based insights, derived from actual event logs, that help users audit, analyze, and improve existing Business Processes by answering both compliance-related and performance-related questions.
Compliance Dashboards
Users can create user defined compliance assessment rules and check them against the Business Processes.
This refers to ensuring that, each step of a business process is executed according to predefined rules, regulations, standards, or policies.
The Compliance rules are user defined based on four types:
Mandatory Activities: This option would allow the user to include selected activities from the Process flow, which will be mandatorily checked for compliance. During the compliance assessment, these events will be subjected to mandatory verification. Any instances of non-compliance identified during this process will be listed separately. In other words, compliance violation will be triggered, even if one of the selected ‘Mandatory Activities’ does not appear in the Process Flow.
Sequence Activities: Users can define the sequence of steps in the process, which will be verified during compliance check. Any deviation from the defined order of sequence constitutes a compliance violation.
Activity SLA (Service Level Agreement): Selecting this option would allow the user to include selected activities from the Process flow, which will be mandatorily checked for compliance with respect to the SLAs already set for these Activities. This outlines the specific time limits established for each activity. Failure to comply with these timeframes would be considered a breach of the Service Level Agreement (SLA).
Overall SLA: Selecting this option allows the user to define an SLA value for the entire Process, representing the total time allocated for its completion. The SLA can be specified in ‘days’, ‘hours’, or ‘minutes’. During compliance assessment, the process will be evaluated against this SLA. Any exceedance of the defined time limit will be considered a violation.
Control Charts
Control charts help monitor how a process behaves over time. They help to determine if a process is stable, under control, or if it exhibits signs of variation that could indicate issues requiring correction. Control Charts help identify influencing factors that need addressing, when ever there is a deviation in the Process.
By plotting data over time, they provide a visual indication of whether a process is stable (in control) or unstable (out of control). They also help identify patterns when ever there are consistent trends in the process, thus identifying problems before they escalate into major anomalies.
The two type of Control Chars are the 
In the X-bar-R chart, the X-bar chart tracks the average (mean) of the subgroup, while the R chart tracks the range (difference between the highest and lowest values) of the subgroup. The variation within a sample is measured by the range (R), which is the difference between the largest and smallest values in the sample.
The X-bar-S chart tracks the Mean of the sample (X-bar) and the standard deviation (s) of the sample, rather than the range. The variation is measured by standard deviation (s), which reflects how spread out the data is within the sample.
The following are elements of the control chart:
The X-Axis represents time or the order in which measurements are taken. It can show either individual data points or samples from different times.
The Y-Axis represents the metrics being monitored.
The Center Line (CL) Represents the process's mean or average. It is the the expected value of the characteristic if the process were in control.
The Upper Control Limit (UCL) and Lower Control Limit (LCL) are the statistical limits that define the range within which the process should operate if it is stable. The UCL and LCL are typically set at ±3 standard deviations from the mean.
The Data Points: Represent individual observations or averages over time (depending on the type of control chart).