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Smart Software Analytics Overview
Note The Smart Software Analytics module is available for users with the Software Library permission.
Accurate and fast software recognition brings a lot of benefits for the enterprise. It helps point out overspent software, avoid new purchases, respond quickly and accurately to external and internal software audits, reduce manual effort involved with the Software Asset Management (SAM) activities.
Due to limited labor resource and traditional inflexible recognition algorithm, the existing SAI teaching process is becoming a bottleneck in the whole software identification process to catch up with the latest software title publications.
Thus, with the aim to enhance software recognition ratio with less manual effort, version 10.33 of the Micro Focus Configuration Management System introduces a new feature called Smart Software Analytics(SSA), which automatically teaches unrecognized software by intelligently using Natural Language Processing (NLP) and machine learning technology.
With SSA, you can have an autoteach.zsai file automatically generated, as scheduled, from the unrecognized files in the scan file. This could significantly raise recognition ratio. In addition, you will have a monthly KPI report on how much work SSA has done that month, for example, number of processed scan files.
What's New
What's new in SSA 2018.08
No new features were implemented.
What's new in SSA 2018.05
- Encrypted all sensitive data in SSA with AES 256 algorithm.
- Added support to change the store pass for Keystore and Truststore.
- Updated the IDOL library license for the machine learning model.
What's new in SSA 3.0
- Merged Sraas Server and SSA Scheduler services into one service SSA Server to reduce resource costs and improve the performance.
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Improved the instructions displayed in the command prompt window when you run install_ssa_service.bat, to remind you to check whether the prerequisite steps are performed before installing SSA.
We welcome your comments!
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