Introduction
The purpose of this document is to provide instructions on how to create and generate queries to pull raw data out of Naverisk using Datahub. Queries can give you an overview of the status of your Devices, information about your Tickets, Agreements, Contacts and many other areas of Naverisk
The Naverisk Data Hub serves as the central engine for aggregating and processing operational data from your managed endpoints, ticketing system, and PSA modules.
1.0 Accessing Datahub
To generate queries in Naverisk, click on the Datahub icon on the left pane of Naverisk.
2.0 Generating a Query
By clicking on the + Add a rule link in the upper left of the page a data selector will appear:
Either use the typeable search box or scroll through the list of available data points and choose your preferred data point.
Once selected, you will be provided a list of match selection criteria:
Enter your criteria and click Done.
Click Run Query button
Advanced Filtering with Grouped Logic
The Data Hub utilizes a flexible logical engine to build sophisticated queries. By combining And and Or operators, you can create complex conditions to filter your IT assets or service desk data precisely.
Logical Operators
There are two primary ways to define how your criteria interact:
And: All conditions within the set must be met. For example, filtering for "Operating System: Windows" And "Status: Offline" will only return Windows devices that are currently offline.
Or: Only one of the conditions within the set needs to be met. For example, filtering for "Operating System: XP" Or "Operating System: Win7" will return any device matching either category.
Grouping and Nested Conditions
To create more advanced queries, you can organize your filters into distinct groups. This allows you to apply different layers of logic across your data set:
Intra-Group Logic: Within a single group, all conditions must share the same operator (either all "And" or all "Or").
Inter-Group Logic: You can define the logic applied between different groups. This allows you to create scenarios such as:
(Group A: Condition 1 And Condition 2) Or (Group B: Condition 3 And Condition 4)
How to Configure Grouped Logic
Add Groups: Use the "Add a rule" function within the query builder to create a new logical block.
Define Operators: Set the primary operator for each group. Ensure all conditions within that specific block are consistent.
Toggle Global Logic: Select whether you want the Data Hub to apply And or Or logic to connect these groups together.
This hierarchical approach ensures you can isolate specific subsets of data, such as identifying all servers that are either "Out of Disk Space" Or have a "Critical Hardware Alert" across multiple different customer sites.
Clicking on the AND/OR operators will toggle between the two states:
3.0 Saving and Managing Custom Queries
The Data Hub includes a Save Query feature, allowing you to preserve specific search parameters, filters, and data views for future use. This eliminates the need to manually rebuild complex reports or search criteria each time you require an update.
Once you have configured your data view using the query builder:
Click the Save Query button
In the prompted field, enter a Query Name. Use a descriptive name that identifies the purpose of the data (e.g., "Monthly Executive Health Check" or "Stale Windows 10 Workstations")
Click Save
Rerunning Saved Queries
To access your saved queries:
Click the Library button
Click the run icon in the dropdown menu
Click the Run Query button
4.0 Viewing and Exporting Results
Once a query is executed, the Data Hub provides flexible options for viewing and sharing your data. You can manage results directly within the platform or export them for external reporting.
Opening Results in a New Tab
To maintain your current search parameters while investigating specific data points, you can open query results in a separate tab within the Data Hub by clicking the Open in New Tab button.
Exporting to CSV
For deeper analysis, client presentations, or integration with external tools, you can export your query results into a flat file format.
Click the Export CSV to generate a standard CSV document containing all columns from your current view.