Configuring Plauti Monitor
Configure general settings and object analysis options, including fields, analysis types, quality scoring, and setup preferences in Plauti Monitor.
The Monitor Setup page
Configure Plauti Monitor from the Monitor Setup page, review usage and analysis settings, view job status and results, and start or edit monitoring jobs.
Object Configuration
Configure object-level metadata analysis by selecting fields and analysis types, setting quality scores, and managing schedules, retention, and storage for Monitor Jobs and results.
Fields to Analyze
Configure analysis types per field, to control how object fields are analyzed. Starting from version 1.6.0, Plauti Context has been renamed to Plauti Monitor.
Analysis Type Configuration
Configure Analysis Types for object fields. Manage default and custom settings by adjusting thresholds, date ranges, case sensitivity, and minimum occurrences, and enable or disable analyses.
Quality Score
Quality Score turns your analysis results into a single, weighted score per record, so you can see data completeness and reliability at a glance.
Scheduled Analysis
Schedule Monitor analyses to run daily, weekly, or monthly, and learn how to configure runs, review results, refresh Quality Scores, and keep trend charts up to date.
Retention Policy
To manage Monitor Library storage, remove old analysis results automatically or manually. Automatically delete analysis results after a set number of days, or delete results on demand for specific
Object Settings
Configure object-specific settings in Plauti Monitor, including how Quality Scores are stored and the implications of saving scores on records versus in a separate scoring object.
Your License
At the License page in Monitor Setup, you can view your current Plauti Monitor edition and status, check your record limit, and see which features are included in your license.
General Settings
Configure Plauti Monitor’s general and storage settings, including analytics sharing, API name visibility, job display behavior, automatic analysis for new fields, and purging historical results.