Case Analytics
See how efficiently your team resolves cases & suggest rule improvements
Last updated
See how efficiently your team resolves cases & suggest rule improvements
Last updated
LogicLoop's Case Analytics feature empowers you to harness your LogicLoop data as a valuable data source for querying, alerting, automation, and visualization. With Case Analytics, you can unlock insights, streamline workflows, and enhance decision-making by leveraging your own data in LogicLoop. This documentation will guide you through the steps to effectively utilize Case Analytics for tasks such as triggering escalations, monitoring team efficiency, and refining your ruleset and alerting.
Follow these steps to effectively leverage LogicLoop's Case Analytics feature:
Log in to your LogicLoop account as an admin user.
Go to the Settings > Data Sources tab.
Click on the option to "Add Data Source."
Select "LogicLoop Data" as the data source type.
Navigate to the Rules tab on the left sidebar, then click + New Rule
Select your LogicLoop Data schema
Write your SQL query, click View Results to check it looks good, and Save. You can make changes and re-run to fine-tune your results.
Specify the actions that should be taken when the rule is triggered. This could include sending alerts, automating tasks, or updating records in external systems.
To visualize your query's results, click on + Add Visualization button under the query text box.
Choose the type of visualization that best suits your analytics goals, such as charts, graphs, or tables.
Customize the visual appearance to match your preferences and requirements.
Suppose you're managing customer support cases, and you want to escalate unresolved cases based on specific criteria.
Add your LogicLoop case data source.
Write a rule that identifies cases unresolved for a certain period.
Configure the rule to trigger an alert or task assignment for further escalation.
You aim to monitor your support team's performance by analyzing case resolution times and trends.
Add your LogicLoop case data source.
Create a visualization that displays average resolution times over different time intervals.
Use this visualization to identify areas for improvement and recognize efficient periods.
As you use LogicLoop for various automation, you want to refine your ruleset based on observed outcomes.
Analyze historical data from LogicLoop using your case data source.
Identify patterns and outcomes resulting from rule activations.
Adjust and optimize your ruleset based on data-driven insights.
LogicLoop's Case Analytics feature empowers you to transform your LogicLoop data into actionable insights, automated workflows, and informative visualizations. By following the steps outlined in this documentation, you can effectively add data sources, write rules, and create visualizations to enhance your processes, make informed decisions, and drive efficiency within your organization.
To enable access to LogicLoop Data for your account, ask us at support@logicloop.com