Connect Liongard and ConnectWise.

Connect Liongard data ...

... to ConnectWise, seamlessly.

Integration #1: Liongard

Integration #2: ConnectWise

System Health Score + Ticket Priority Level = Proactive Issue Detection

Environment Risk Score + Agreement Active Status = Contract Risk Alignment

Alert Total Count + Time Entry Actual Hours = Alert Resolution Efficiency

Detection Severity Level + Service Board Name = Issue Routing Accuracy

Agent Online Status + Location Name = Site Monitoring Coverage

Timeline Change Count + Project Completion Status = Project Impact Analysis

System Uptime Percentage + SLA Target Value = SLA Compliance Rate

Inspector Category + Work Type Name = Service Specialization Map

Environment Total Count + Member Utilization % = Client Load Distribution

Detection Days Open + Ticket Age Days = Issue Resolution Lag

Extract true business intelligence insights in seconds.

System Health Score

Ticket Priority Level

Proactive Issue Detection

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Environment Risk Score

Agreement Active Status

Contract Risk Alignment

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Alert Total Count

Time Entry Actual Hours

Alert Resolution Efficiency

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Detection Severity Level

Service Board Name

Issue Routing Accuracy

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Agent Online Status

Location Name

Site Monitoring Coverage

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Timeline Change Count

Project Completion Status

Project Impact Analysis

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System Uptime Percentage

SLA Target Value

SLA Compliance Rate

Try it

Inspector Category

Work Type Name

Service Specialization Map

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Environment Total Count

Member Utilization %

Client Load Distribution

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Detection Days Open

Ticket Age Days

Issue Resolution Lag

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Choose a data point...

...literally any one you like

Increased efficiency and profits

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Curious? Explore more

Liongard

ConnectWise

data integration possibilities.

Combining Liongard and ConnectWise data has never been so easy...

Cross the bridge between IT visibility and service delivery by integrating Liongard and ConnectWise. This powerful pairing connects real-time asset intelligence with service workflows, giving you clear insight into proactive issue detection, contract risk alignment, alert resolution efficiency, and SLA compliance—all in one operational view.

By unifying Liongard’s deep environment monitoring with ConnectWise’s ticketing, routing, and project management, you turn fragmented alerts and service data into actionable intelligence. The result: more accurate issue routing, better site monitoring coverage, clearer project impact analyses, and reduced issue resolution lag—so your teams can move faster, specialize smarter, and deliver consistently better service.

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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)?

Let's dive in. Start a free account or schedule a demo and we'll walk you through it.

P.S. You can do both and we'll use your own data for the demo.

Get Started Free See The Demo