Connect Liongard and NinjaOne.

Connect Liongard data ...

... to NinjaOne, seamlessly.

Integration #1: Liongard

Integration #2: NinjaOne

System Health Score + Device Health Status = Unified Health Assessment

Environment Risk Score + Alert Total Count = Risk-Alert Correlation Index

Detection Severity Level + Policy Violation Count = Cross-Platform Security Score

Agent Online Status + Organization Device Count = Monitoring Coverage Ratio

System Uptime Percentage + Device Uptime Percentage = Infrastructure Availability Score

Inspector Category + Device Role = Asset Type Coverage Map

Environment Total Count + Location Total Count = Client-Site Coverage Ratio

Detection Days Open + Software Version = Vulnerability-Patching Gap

System Inspector Name + Device Backup Status = Asset Protection Coverage

Extract true business intelligence insights in seconds.

System Health Score

Device Health Status

Unified Health Assessment

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Environment Risk Score

Alert Total Count

Risk-Alert Correlation Index

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Detection Severity Level

Policy Violation Count

Cross-Platform Security Score

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Agent Online Status

Organization Device Count

Monitoring Coverage Ratio

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System Uptime Percentage

Device Uptime Percentage

Infrastructure Availability Score

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Inspector Category

Device Role

Asset Type Coverage Map

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Environment Total Count

Location Total Count

Client-Site Coverage Ratio

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Detection Days Open

Software Version

Vulnerability-Patching Gap

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System Inspector Name

Device Backup Status

Asset Protection Coverage

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Choose a data point...

...literally any one you like

Increased efficiency and profits

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Curious? Explore more
or
data integration possibilities.

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

It’s time to tear down the operational roadblocks between Liongard and NinjaOne by integrating them through Resplendent Data. This powerful pairing connects the dots between asset intelligence and real-time monitoring, giving you visibility into metrics like unified health assessments, risk-alert correlation indexes, cross-platform security scores, and monitoring coverage ratio—all in one place.

By unifying these platforms, you can transform fragmented data into a clear view of infrastructure availability, vulnerability gaps, and asset protection coverage, empowering you to improve efficiency, reduce risk, and drive greater profitability.

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.

Revenue MTD
$1.26M
Tickets by Type
Revenue YTD
$7.81M
Hours by Client
Hours by Technician

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.

Revenue MTD
$1.26M
Revenue YTD
$7.81M

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.

Hours by Client
Tickets by Type

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.