Last Release
ARBUTUS VERSION 9
AI-Powered Advanced Analytics
Sentiment Analysis | Clusters | Smart Query | Data Categorization | Outliers
Arbutus 9 features AI/ML analytics for insights, predictions, & advanced analytics, bundled with data security, and user-friendly design. It integrates seamlessly and scales to fit businesses of all sizes.
Title: AI-Powered Advanced Analytics
Duration: 03min 01seg
Language: English
Owner: Arbutus Software
Title: AI-Powered Advanced Analytics
Duration: 03min 01seg
Language: English
Owner: Arbutus Software
AI/ML SmartApps
Access integrated AI-powered analytics with a click of a button.
HR SmartApps
New analytics suite focused on the Human Resource area
Out-of-box interactive data analytics based on best practices
Results Manager (RM) Forms Data Mapping
Expanded configuration and control of how results are fed into RM
Increased customization and flexibility in data handling
AI/ML SmartApps
Access integrated AI-powered analytics with a click of a button.
HR SmartApps
New analytics suite focused on the Human Resource area
Out-of-box interactive data analytics based on best practices
Results Manager (RM) Forms Data Mapping
Expanded configuration and control of how results are fed into RM
Increased customization and flexibility in data handling
More Enhancements
Improved User Interface for Data Preview
Easier to see which data source is being previewed in Workflow. Improved formatting of preview data. More intuitive user interface when previewing data in workflow.
Data at Rest Encryption
Option to have output files automatically encrypted when using Analyzer Plus (local) or HUB (server). Increased data security and alignment with organizational standards.
Function that Converts DateTime Fields
Converts a datetime value or expression into a character string.
Improved Directory Command
Simplified use of Directory command without command line syntax.
Support for SSO
Single sign-on now supported between Analyzer and HUB. Better IT management of server connection and authentication.
Native Connectors for SQL Server and Oracle
Support for native connection to give faster, more secure loading of data. Achieve faster importing of Oracle and SQL Server data.
WeekNum Function
Returns week number in a calendar year based on Date field.
Support for Multi-Line SQL
Simplified SQL query editing for developers.
Set Default Export Type
Export command automatically uses preferred Export type. Work more efficiently by eliminating manual changes to the Export command.
Export Registry to Profile.txt
Users can now export their server profile information to a profile.txt
Enhanced EOMONTH Function
New +/- months parameter for testing controls that rely on date-based cutoffs
Better Control of Append Output
Easier management of Append results location.
Latest Data Connectors
Reference Material
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