Connect Liongard and QuickBooks Online.
Connect Liongard data ...
... to QuickBooks Online, seamlessly.
Integration #1: Liongard
Integration #2: QuickBooks Online
Environment Risk Score + Customer Credit Limit = Credit Risk Alignment
Alert Monthly Count + Invoice Line Item Count = Alert-to-Billing Correlation
System Health Score + Customer Payment Terms = Service Level Payment Alignment
Detection Severity Level + Expense Account = Remediation Cost Tracking
Agent Install Date + Purchase Order Transaction Date = Monitoring ROI Timeline
Timeline Change Count + Bill Total Amount = Change Management Cost
Environment Total Count + Sales Receipt Total Amount = Client Revenue Distribution
System Uptime Percentage + Item Quantity Sold = Uptime Service Impact
Inspector Category + Vendor Category = Technology Spend Analysis
System First Seen Date + Fixed Asset Book Value = Asset Lifecycle Value
Environment Tags + Customer Customer Type = Client Segmentation Sync
Extract true business intelligence insights in seconds.
Environment Risk Score
Customer Credit Limit
Credit Risk Alignment
Try itAlert Monthly Count
Invoice Line Item Count
Alert-to-Billing Correlation
Try itSystem Health Score
Customer Payment Terms
Service Level Payment Alignment
Try itDetection Severity Level
Expense Account
Remediation Cost Tracking
Try itAgent Install Date
Purchase Order Transaction Date
Monitoring ROI Timeline
Try itTimeline Change Count
Bill Total Amount
Change Management Cost
Try itEnvironment Total Count
Sales Receipt Total Amount
Client Revenue Distribution
Try itSystem Uptime Percentage
Item Quantity Sold
Uptime Service Impact
Try itInspector Category
Vendor Category
Technology Spend Analysis
Try itSystem First Seen Date
Fixed Asset Book Value
Asset Lifecycle Value
Try itEnvironment Tags
Customer Customer Type
Client Segmentation Sync
Try itChoose a data point...
...literally any one you like
Increased efficiency and profits
Try itCombining Liongard and QuickBooks Online data has never been so easy...
Eliminate the gap between finance and IT operations by integrating Quickbooks Online and Liongard into one unified data ecosystem. This powerful pairing connects accounting data with real-time asset intelligence, delivering visibility into credit risk alignment, service-level payment performance, remediation costs, and monitoring ROI timeline—all mapped directly to revenue and margin.
With financial reporting and IT asset monitoring working together, you can track change management costs, measure uptime’s impact on client revenue, analyze technology spend against asset lifecycle value, and align client segmentation with profitability. Instead of siloed systems and disconnected reports, you gain actionable business intelligence that drives operational efficiency, protects margins, and increases profits.

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.