Connect ConnectWise and NinjaOne.
Connect ConnectWise data ...
... to NinjaOne, seamlessly.
Integration #1: ConnectWise
Integration #2: NinjaOne
Ticket Total Count + Device Health Status = Device Health Impact Score
Time Entry Actual Hours + Alert Total Active Count = Alert Resolution Efficiency
Agreement Active Status + Device Patch Compliance % = Contract Compliance Rate
Company Annual Revenue + Organization Total Count = Client Size Distribution
Ticket Priority Level + Policy Violation Count = Policy Impact Severity
Agreement SLA Met/Missed + Device Uptime Percentage = Uptime SLA Performance
Project Budget Hours + Software Installed Count = Software Deployment Effort
Ticket First Response Time + Alert Severity Level = Critical Alert Response Rate
Time Entry Work Type + Device Device Role = Device Support Complexity
Member Assigned Tickets + Device Operating System = OS Expertise Alignment
Activity Total Count + Device Backup Status = Backup Follow-up Rate
Configuration Total Items + Device Purchase Date = Asset Lifecycle Tracking
Extract true business intelligence insights in seconds.
Ticket Total Count
Device Health Status
Device Health Impact Score
Try itTime Entry Actual Hours
Alert Total Active Count
Alert Resolution Efficiency
Try itAgreement Active Status
Device Patch Compliance %
Contract Compliance Rate
Try itCompany Annual Revenue
Organization Total Count
Client Size Distribution
Try itTicket Priority Level
Policy Violation Count
Policy Impact Severity
Try itAgreement SLA Met/Missed
Device Uptime Percentage
Uptime SLA Performance
Try itProject Budget Hours
Software Installed Count
Software Deployment Effort
Try itTicket First Response Time
Alert Severity Level
Critical Alert Response Rate
Try itTime Entry Work Type
Device Device Role
Device Support Complexity
Try itMember Assigned Tickets
Device Operating System
OS Expertise Alignment
Try itActivity Total Count
Device Backup Status
Backup Follow-up Rate
Try itConfiguration Total Items
Device Purchase Date
Asset Lifecycle Tracking
Try itChoose a data point...
...literally any one you like
Increased efficiency and profits
Try itCombining ConnectWise and NinjaOne data has never been so easy...
Tear down the walls between IT operations and service management by integrating ConnectWise and NinjaOne through Resplendent Data. This seamless pairing unites device insights with business performance metrics, giving you visibility into critical areas like device health impact scores, contract compliance rates, and client size distribution—all within the context of your managed service operations.
By bringing these platforms together, you can turn fragmented data into a unified source of truth. Make proactive, data-driven decisions that enhance service reliability, optimize resource alignment, and strengthen client satisfaction.
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.