--- schema_version: "1" id: bcd2f8a74ec374e0cfa503bf5f4bb4d226d45bd45dc3bd5b4e693a1ef4acdf07 title: Get Rule Violation Analytics for Field Service (Beta) collection: admin version: current locale: en-us portal_url: https://docs.salesforce.com/admin/current/en-us/service/264-0-0/pfs_rule_violation_analytics_parent.md canonical_url: https://help.salesforce.com/s/articleView?id=service.pfs_rule_violation_analytics_parent.htm&release=264.0.0&type=5 source_site: help.salesforce.com content_type: documentation content_hash: 3f275fc17f3c0ae6c19f2b5d1dc69b0ccb4ea4170733a4dfccb49c7f0451252f description: Understand the root causes of rule violations in manual scheduling, such as geographical imbalances or skill gaps, and make data-driven decisions by analyzing trends and patterns. products: - Field Service release: "264" --- # Get Rule Violation Analytics for Field Service (Beta) Understand the root causes of rule violations in manual scheduling, such as geographical imbalances or skill gaps, and make data-driven decisions by analyzing trends and patterns. ### Required Editions
Available in: Lightning Experience
The Field Service core features, managed package, and mobile app are available in Enterprise, Unlimited, and Developer Editions.
![Package icon](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-service-support_field_service-264-0-0-production-enus/3f7dceb9-dd70-454a-b49e-bbb4526a158d/support_field_service/images/fs_package.png) _This is a Field Service managed package feature._ ![Note](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-service-support_field_service-264-0-0-production-enus/3f7dceb9-dd70-454a-b49e-bbb4526a158d/images/icon_note.png) Note Rule violation Analytics is a pilot or beta service that is subject to the Beta Services Terms at [Agreements - Salesforce.com](https://www.salesforce.com/company/legal/) or a written Unified Pilot Agreement if executed by Customer, and applicable terms in the [Product Terms Directory](https://ptd.salesforce.com/?_ga=2.247987783.1372150065.1709219475-629000709.1639001992). Use of this pilot or beta service is at the Customer's sole discretion. Rule Violation Analytics provides direct integration with Data 360 to capture instances where standard scheduling rules are overridden during manual scheduling operations. It automatically logs and ingests data for all rules that are manually violated on the Gantt into Data 360. Built on the Enhanced Scheduling and Optimization Data Model, Rule Violation Analytics can be easily queried via a semantic data model for analysis and reporting. With Rule Violation Analytics, Field Service managers can analyze this data, identify trends, and draw insights by creating comprehensive dashboards in Tableau Next. They gain enhanced visibility and the ability to make data-driven decisions by understanding why dispatchers are manually overriding scheduling rules. These analytics empower them to: - Identify the root causes and recurring patterns of rule violations in manual scheduling to understand the underlying reasons for violations, such as geographical imbalances or skill gaps. - Address inefficiencies proactively by tracking and visualizing metrics like the frequency of specific rule violations and identifying recurring issues by dispatcher or territory. - Optimize training and configuration by determining if there are systemic training gaps or misconfigured rules that need adjustment. - Improve operational efficiency by enabling better resource allocation and workforce planning and improving scheduling adherence and cost efficiency. ![Example](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-service-support_field_service-264-0-0-production-enus/3f7dceb9-dd70-454a-b49e-bbb4526a158d/images/icon_example.png) Example A dispatcher manually schedules a service appointment that requires a specific skill, like Emergency skill, to a service resource who doesn't possess it. The system triggers a rule violation check and identifies a Match Skills rule violation. Rule Violation Analytics automatically captures the violation details and ingests the data into Data 360 for analysis. By querying this data and building dashboards in Tableau Next, Field Service managers can derive actionable insights to improve their scheduling processes and reduce future violations. - **[Set Up Rule Violation Analytics for Field Service (Beta)](https://help.salesforce.com/s/articleView?id=service.pfs_rule_violation_analytics_set_up.htm&release=264.0.0&type=5)** Enable Rule Violation Analytics and learn about its limitations and considerations. - **[Work with Rule Violation Analytics for Field Service (Beta)](https://help.salesforce.com/s/articleView?id=service.pfs_rule_violation_analytics_work_with.htm&release=264.0.0&type=5)** View rule violation information from your Data Model Objects (DMOs) in Data 360 and use Tableau Next to analyze your data and find useful and actionable insights that can drive business success. #### See Also - [Create and Manage Field Service Work Rules](https://help.salesforce.com/s/articleView?id=service.pfs_optimization_theory_work_rules.htm&release=264.0.0&type=5 "Work rules refine the list of candidates for a service appointment by rejecting service resources that violate any rule. Add work rules to any Field Service scheduling policy to guide schedule optimization.") - [Manage Rule Validation Checks](https://help.salesforce.com/s/articleView?id=service.pfs_manage_rule_validations.htm&release=264.0.0&type=5 "Set how often rules are checked for violations, and what triggers automatic rule validation checks.") - [Check Rule Violations on the Field Service Gantt](https://help.salesforce.com/s/articleView?id=service.pfs_violations.htm&release=264.0.0&type=5 "Rule violations occur when a service appointment doesn’t follow predefined scheduling rules. Examples of rule violations include travel time conflicts and appointments that aren’t scheduled between their Earliest Start Permitted and Due Date.") - [About Salesforce Data 360](https://help.salesforce.com/s/articleView?id=data.c360_a_data_cloud.htm&language=en_US) - [Data to Decisions: Data 360 and Tableau Next](https://help.salesforce.com/s/articleView?id=data.c360_a_datacloud_tableaunext.htm&language=en_US) - [Analyze Data from Data 360](https://help.salesforce.com/s/articleView?id=data.c360_a_business_intelligence_analytics.htm&language=en_US)