Connect Liongard and HaloPSA.
Connect Liongard data ...
... to HaloPSA, seamlessly.
Integration #1: Liongard
Integration #2: HaloPSA
Environment Risk Score + Contract Service Level = Risk-Service Alignment
Alert Monthly Count + Action Count = Alert Response Rate
System Uptime Percentage + Customer Satisfaction Score = Uptime-Satisfaction Index
Environment Total Count + Site Total Count = Client Coverage Ratio
Detection Days Open + Ticket Resolution Time = Security Response Lag
Environment Tags + Customer Type = Client Segmentation Sync
Extract true business intelligence insights in seconds.
Environment Risk Score
Contract Service Level
Risk-Service Alignment
Try itAlert Monthly Count
Action Count
Alert Response Rate
Try itSystem Uptime Percentage
Customer Satisfaction Score
Uptime-Satisfaction Index
Try itEnvironment Total Count
Site Total Count
Client Coverage Ratio
Try itDetection Days Open
Ticket Resolution Time
Security Response Lag
Try itEnvironment Tags
Customer Type
Client Segmentation Sync
Try itChoose a data point...
...literally any one you like
Increased efficiency and profits
Try itCombining Liongard and HaloPSA data has never been so easy...
Eliminate the gap between IT assets, security visibility, and service management by integrating your Liongard and HaloPSA data with Resplendent Data. This powerful pairing connects real-time asset intelligence with PSA workflows to uncover metrics like risk-service alignment, alert response rate, uptime-satisfaction index, client coverage ratio, security response lag, and client segmentation—all within a unified MSP reporting environment.
By bringing these platforms together, you transform siloed operational and security data into actionable business intelligence that improves response times, strengthens client service delivery, increases operational efficiency, and supports smarter, data-driven growth.
How it works...
Resplendent Data transforms raw data from the tools and apps you're already using into actionable, visual dashboards in a few short steps.
Integrations
These are your apps and databases that contain data waiting to be visualized.
Datasets
Each dataset represents one category of data, such as clients, tasks, tickets, or invoices.
Invoices
Clients
Time Entries
Tickets
Joined Datasets
Joined datasets are created by combining data from two standard datasets.
All Data Combined
Modified Datasets
Modified datasets clean or modify data before visualization, such as replacing text or performing calculations.
Filter internal tickets
Remove duplicate tickets
Standardize ticket types
Widgets
Widgets turn the data from any dataset into a visual representation.
Simple
A basic example of data flowing directly from the source to dashboard widgets.
Integrations
These are your apps and databases that contain data waiting to be visualized.
Datasets
Each dataset represents one category of data, such as clients, tasks, tickets, or invoices.
Invoices
Widgets
Widgets turn the data from any dataset into a visual representation.
Advanced
A robust example of preparing data for even more helpful insights and visualization.
Integrations
These are your apps and databases that contain data waiting to be visualized.
Datasets
Each dataset represents one category of data, such as clients, tasks, tickets, or invoices.
Clients
Time Entries
Tickets
Joined Datasets
Joined datasets are created by combining data from two standard datasets.
All Data Combined
Modified Datasets
Modified datasets clean or modify data before visualization, such as replacing text or performing calculations.
Filter internal tickets
Remove duplicate tickets
Standardize ticket types
Widgets
Widgets turn the data from any dataset into a visual representation.
Ready to see it (and believe it)?
P.S. You can do both and we'll use your own data for the demo.