Connect Quickbooks Online and ConnectWise.
Connect Quickbooks Online data ...
... to ConnectWise, seamlessly.
Integration #1: Quickbooks Online
Integration #2: ConnectWise
Client Name + Ticket Hours = Hours by Client
Invoice Amount + Ticket Hours = Revenue / Support Hours Ratio
Client Location + Ticket Issue Type = Issues by Client Location
Client Company Name + Ticket Time-To-Resolution = TTR by Client
Extract true business intelligence insights in seconds.
Client Name
Ticket Hours
Hours by Client
Try itInvoice Amount
Ticket Hours
Revenue / Support Hours Ratio
Try itClient Location
Ticket Issue Type
Issues by Client Location
Try itClient Company Name
Ticket Time-To-Resolution
TTR by Client
Try itQuickbooks Online
Client Name
ConnectWise
Ticket Hours
Result
Hours by Client
Revenue / Support Hours Ratio
Issues by Client Location
TTR by Client
Quickbooks Online
Invoice Amount
ConnectWise
Ticket Hours
Result
Hours by Client
Revenue / Support Hours Ratio
Issues by Client Location
TTR by Client
Quickbooks Online
Client Location
ConnectWise
Ticket Issue Type
Result
Hours by Client
Revenue / Support Hours Ratio
Issues by Client Location
TTR by Client
Quickbooks Online
Client Company Name
ConnectWise
Ticket Time-To-Resolution
Result
Hours by Client
Revenue / Support Hours Ratio
Issues by Client Location
TTR by Client
Combining Quickbooks Online and ConnectWise data has never been so easy...
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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)?
P.S. You can do both and we'll use your own data for the demo.