Your Quality Management Data Template

The Quality Event ID serves as the primary case identifier for the entire quality management process. It is typically an alphanumeric value generated by MasterControl when a new quality event is initiated.

In process mining, this attribute is fundamental for reconstructing the end-to-end journey of each quality issue. By grouping all related activities under a single Quality Event ID, analysts can visualize the complete process flow, measure cycle times from creation to closure, and identify variations or bottlenecks specific to individual cases.

This is the essential case identifier that connects all process steps, enabling the analysis of the entire lifecycle of each quality issue from initiation to resolution.

This is the primary key for a quality event record. Consult MasterControl documentation or system configuration for the specific table and field name.

The Activity Name describes a distinct step or milestone in the quality management process. These activities are logged with timestamps and form the sequence of events that constitute the process flow for each quality event.

Analyzing these activities is the core of process mining. It allows for the discovery of the actual process map, identification of common pathways, deviations from the standard procedure, and bottlenecks. The sequence and frequency of activities like 'Root Cause Analysis Performed' are critical for dashboards focused on rework and compliance.

This attribute defines the steps in the process, allowing for the visualization of the process map, detection of deviations, and analysis of process flow.

This information is typically logged in an audit trail or history table associated with each quality event record in MasterControl.

This timestamp marks the completion of a specific task or the occurrence of an event in the quality process. It provides the chronological order necessary to reconstruct the process flow for each case.

Timestamps are essential for all time-based process mining analyses. They are used to calculate cycle times, processing times, and waiting times between activities. This data is fundamental for building dashboards that analyze resolution times, identify bottlenecks, and measure handoff delays between departments.

This timestamp provides the chronological sequencing of events, which is critical for calculating process durations, identifying bottlenecks, and understanding process performance.

This is a standard field in the audit trail or history log for quality event records in MasterControl, capturing when each action was recorded.

This attribute records the result of the effectiveness verification, which is a critical final step in the CAPA process. The status indicates whether the actions taken have successfully resolved the issue and prevented its recurrence.

This data is the primary input for the 'CAPA Effectiveness Monitoring' dashboard and the 'CAPA Effectiveness Rate' KPI. Analyzing this outcome helps the organization understand the success rate of its problem-solving efforts and identify areas where corrective actions are failing.

Measures the success of implemented actions, which is crucial for calculating the CAPA effectiveness rate and driving continuous improvement.

This is a result field within the effectiveness verification or closure section of the CAPA form, which is often linked to the quality event in MasterControl.

EndTime marks the conclusion of an activity. For many events logged in an audit trail, the start and end times are identical, representing a single point in time when the event occurred. However, for activities that have a measurable duration, this field can capture that information.

This attribute is used in conjunction with StartTime to calculate the processing time of individual activities. This is crucial for identifying which steps consume the most time in the process, supporting the Quality Process Bottleneck Identification dashboard.

Enables the calculation of precise activity durations, helping to pinpoint which specific tasks are the most time-consuming within the quality management process.

May be available in the MasterControl audit trail or history log. If not available, it can be derived as the StartTime of the next activity in the sequence.

This attribute provides a snapshot of where a quality event stands at any given time. It is typically updated as the case progresses through major milestones.

In process mining, the status can be used to filter for open or closed cases, which is essential for the 'Quality Event Throughput & Backlog' dashboard. Analyzing the time spent in each status can also help identify stages where events tend to stall.

Indicates the current state of a quality event, enabling analysis of backlogs, throughput, and the time spent in different stages of the lifecycle.

This is a standard status field on the main quality event record in MasterControl.

This attribute categorizes the quality event based on its nature. Different types of events may follow distinct process paths or have different compliance requirements and target resolution times.

Analyzing the process by Quality Event Type is fundamental to understanding variations in performance. Dashboards like the 'Quality Event Resolution Time Analysis' rely on this attribute to compare cycle times for different categories, helping to identify which types of issues are more complex or take longer to resolve.

Categorizes quality events, allowing for comparative analysis of process flows, cycle times, and outcomes across different issue types.

This is a primary classification field on the quality event initiation form in MasterControl.

This attribute indicates which department, such as 'Manufacturing', 'Quality Assurance', or 'Engineering', is assigned ownership of the quality event or is performing a specific task.

This is a critical dimension for analysis, as it allows for filtering and comparing process performance across different business units. It is essential for the Handoff Delay Analysis dashboard, as changes in this attribute between activities signify a handoff. Analyzing time gaps at these handoffs can reveal communication or coordination issues between departments.

Helps identify inter-departmental bottlenecks and analyze process performance by functional area, which is crucial for understanding handoff delays.

This information is typically stored on the main quality event form in MasterControl and may be updated as the event moves through its lifecycle.

After a root cause analysis is performed, the findings are typically categorized. This attribute stores that classification, providing structured data on why problems are occurring.

This is a key attribute for strategic quality improvement. The 'Root Cause Analysis Consistency' dashboard uses this data to correlate root cause categories with the effectiveness of corrective actions and rework rates. This helps determine if certain types of root causes are more difficult to address or if the analysis itself is inconsistent.

Categorizes the underlying reason for quality issues, enabling targeted analysis to prevent recurrence and improve the effectiveness of corrective actions.

This field is typically part of the Root Cause Analysis or Investigation section of the quality event form in MasterControl.

This attribute defines the expected completion date for a quality event, often determined by its type, severity, or associated regulatory requirements. It serves as a deadline for the resolution process.

This date is used to measure on-time performance and compliance with service level agreements (SLAs). It is essential for calculating the 'Compliance Adherence Rate' KPI and for creating a calculated 'SLA Status' attribute (e.g., 'On Time', 'Late'). This allows for analysis of which types of events or departments are most likely to miss their deadlines.

Sets a deadline for resolution, enabling the measurement of on-time performance and the calculation of SLA compliance rates.

This is likely a date field on the main quality event form in MasterControl, which may be automatically calculated or manually entered.

This attribute identifies the individual responsible for executing a specific task in the process, such as approving a corrective action plan or closing a quality event.

Analyzing the process by user helps in understanding workload distribution, identifying training needs, and discovering user-specific variations in process execution. It can be used to see if certain individuals are associated with rework or delays, providing insights for performance management and resource allocation.

Attributes activities to specific individuals, enabling analysis of workload, performance, and resource-related bottlenecks.

This information is a standard part of the audit trail or history log for any quality event in MasterControl, typically captured as 'User' or 'Performed By'.

This attribute links a quality event to a specific external regulation or internal quality standard. This is particularly important for companies in regulated industries like life sciences or manufacturing.

For the 'Quality Process Compliance Adherence' dashboard, this attribute is critical. It allows analysts to filter for events related to a specific regulation and verify that the required process steps were followed. Deviations can be flagged as potential compliance risks, making this a key attribute for audit and risk management purposes.

Links quality events to specific compliance requirements, enabling analysis of adherence to regulatory standards and internal policies.

This may be a selectable field on the quality event form in MasterControl, allowing users to tag events with applicable regulations.

This attribute provides a direct link between a quality event and the specific corrective action(s) created to address its root cause. A single quality event may be linked to one or more corrective actions.

Having this ID allows for a more detailed analysis that can join quality event data with data from the CAPA module. This enables a deeper investigation into the types of actions taken for different root causes and their subsequent effectiveness, supporting the CAPA Effectiveness Monitoring dashboard.

Links the quality event to its specific corrective actions, enabling a more granular analysis of action effectiveness and resolution strategies.

This would be stored in a related records or linked objects section on the quality event form in MasterControl.

This metric calculates the duration a case spends waiting after one department completes its task and before the next department begins theirs. It is calculated by identifying consecutive activities where the 'Responsible Department' changes and measuring the time gap between them.

This calculated metric is the core of the 'Handoff Delay Analysis' dashboard and the 'Average Handoff Wait Time' KPI. It isolates waiting time caused by coordination or communication issues from active processing time, helping to pinpoint specific cross-functional bottlenecks that prolong the overall cycle time.

Isolates and quantifies waiting time between departments, directly exposing communication gaps and coordination bottlenecks in the process.

This is calculated during data transformation by analyzing the timestamps and 'ResponsibleDepartment' values of consecutive activities within each case.

This flag is set to 'true' when an activity is repeated within the same case, or when the process loops back to an earlier stage. For example, if 'Root Cause Analysis Performed' happens twice for the same quality event, the second occurrence would be flagged as rework.

This attribute directly supports the 'Rework and Re-investigation Overview' dashboard and the 'Root Cause Re-Investigation Rate' KPI. It simplifies the quantification of rework, making it easy to filter for and analyze cases with inefficient process flows.

Explicitly flags activities that are being repeated, making it simple to quantify and analyze the frequency, causes, and impact of rework.

This flag is derived during data transformation by analyzing the sequence of activities for each case to detect repeated steps or process loops.

This attribute records the date and time of the most recent data pull from the source system. It is a metadata field that applies to the entire dataset rather than individual events.

This information is vital for understanding the freshness of the data being analyzed. It provides transparency to business users about how current the process dashboards and KPIs are, ensuring that decisions are based on data of a known age.

Provides crucial context on data freshness, ensuring users know how up-to-date the analysis is and when the next data refresh is expected.

This timestamp is generated and added during the data extraction, transformation, and loading (ETL) process from MasterControl.

Similar to the Corrective Action ID, this attribute links the quality event to any preventive actions that were created. Preventive actions are proactive measures intended to prevent the occurrence of similar potential issues in other areas.

This ID is crucial for the 'Preventive Action Optimization' dashboard and the 'Preventive Action Rate' KPI. It allows for tracking how often quality events lead to proactive improvements and analyzing the impact of those preventive measures over time.

Connects the quality event to proactive preventive measures, allowing for analysis of the organization's ability to learn from issues and prevent future occurrences.

This would be found in a related records section on the quality event or CAPA form in MasterControl, linking to a preventive action object.

Processing Time, also known as activity duration, is the time elapsed between the start and end of an activity. It represents the actual work time, as opposed to waiting time between steps.

This calculated metric is a cornerstone of bottleneck analysis. By aggregating processing times for each activity, the 'Quality Process Bottleneck Identification' dashboard can clearly show which steps are the most time-consuming. This helps focus optimization efforts on the parts of the process where the most time is being spent.

Quantifies the active work duration for each task, directly highlighting the most time-consuming steps and key areas for efficiency improvements.

This is calculated during data transformation by subtracting the StartTime from the EndTime of an activity. It requires both timestamps to be available.

This attribute identifies the specific product or material associated with the quality issue. This provides essential context for understanding the impact of quality events.

Analyzing process data by product allows for the identification of products that have recurring quality issues. This can help prioritize improvement efforts, inform product design changes, and assess the performance of different manufacturing lines or suppliers.

Provides critical business context, allowing for analysis of quality issues by product line to identify recurring problems and trends.

This would be a field on the quality event form where users can specify the product, often by selecting from a predefined list or entering a part number.

This attribute specifies the physical location or site associated with the quality event. It provides a geographical or organizational context for the issue.

This is a valuable dimension for comparative analysis. By filtering or grouping by site, management can compare the performance of the quality management process across different locations. This can highlight sites that are performing well and can share best practices, as well as sites that may need additional support or process improvements.

Allows for performance comparison across different manufacturing sites or facilities, helping to identify location-specific issues or best practices.

This information is typically captured on the quality event initiation form, often as a dropdown list of company sites.

This attribute is derived by comparing the actual closure date of a quality event with its 'Target Resolution Date'. The status is typically set to 'On Time' or 'Late'.

This provides a clear, at-a-glance indicator of performance against deadlines. It is the basis for the 'Compliance Adherence Rate' KPI and allows for easy filtering and analysis of late cases. Understanding the drivers of late resolutions is key to improving overall process timeliness and meeting compliance goals.

Provides a simple indicator of whether cases are meeting their deadlines, which is essential for measuring and improving on-time performance.

This is calculated during data transformation by comparing the timestamp of the 'Quality Event Closed' activity with the 'TargetResolutionDate' field for each case.

This attribute provides context about the origin of the data. For this process, it will consistently hold a value indicating 'MasterControl'.

While it may seem static, this attribute is crucial in enterprise environments where data from multiple systems might be combined for a broader analysis. It ensures data lineage and helps in isolating system-specific behaviors or data quality issues.

Clearly attributes the data to its source system, which is essential for data governance and for analyses that combine data from multiple applications.

This is typically a static value added during the data extraction, transformation, and loading (ETL) process to label the origin of the dataset.