Connect Liongard and SmileBack.

Connect Liongard data ...

... to SmileBack, seamlessly.

Integration #1: Liongard

Integration #2: SmileBack

System Health Score + Review Rating = Health-Satisfaction Correlation

Alert Monthly Count + NPS Response Score = Issue Impact on Loyalty

Environment Risk Score + Review Comment = Risk-Feedback Sentiment Analysis

Detection Severity Level + Review Has Marketing Permission = Security Impact on Advocacy

Agent Online Status + Review Rated On = Monitoring Coverage Satisfaction

Timeline Change Count + Review Tags = Change Management Perception

Inspector Category + Review Status = Service Type Satisfaction

Environment Total Count + Review Last Modified = Client Scale Feedback Rate

System Inspector Name + Review Territory Name = Technology-Geography Satisfaction

Extract true business intelligence insights in seconds.

System Health Score

Review Rating

Health-Satisfaction Correlation

Try it

Alert Monthly Count

NPS Response Score

Issue Impact on Loyalty

Try it

Environment Risk Score

Review Comment

Risk-Feedback Sentiment Analysis

Try it

Detection Severity Level

Review Has Marketing Permission

Security Impact on Advocacy

Try it

Agent Online Status

Review Rated On

Monitoring Coverage Satisfaction

Try it

Timeline Change Count

Review Tags

Change Management Perception

Try it

Inspector Category

Review Status

Service Type Satisfaction

Try it

Environment Total Count

Review Last Modified

Client Scale Feedback Rate

Try it

System Inspector Name

Review Territory Name

Technology-Geography Satisfaction

Try it

Choose a data point...

...literally any one you like

Increased efficiency and profits

Try it

Curious? Explore more

Liongard

SmileBack

data integration possibilities.

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

Connect operational visibility with real client sentiment by integrating Liongard and SmileBack through Resplendent Data. This powerful pairing links environment monitoring data with customer feedback to reveal insights like health-to-satisfaction correlations, how service issues affect loyalty, and the impact of security and monitoring coverage on client advocacy.

By bringing these platforms together, you turn technical telemetry and feedback into actionable intelligence—helping you understand service satisfaction, change perception, and client sentiment across different environments so you can improve efficiency, strengthen retention, and drive greater profitability.

Get Started Free See The Demo

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