Plauti Context is a Salesforce-native metadata and data quality intelligence platform, that helps you understand, analyze, and monitor the health of your Salesforce data. It combines comprehensive metadata documentation, powerful data quality analysis, and automated monitoring, to transform your CRM from a "black box" into a transparent, well-documented system.

With Plauti Context, you can:

• Document field and object context in a centralized library that preserves institutional knowledge
• Use 20+ data quality analysis types to provide insight in the state of your data
• Monitor data quality trends over time with scheduled analysis jobs and historical tracking (will be added soon)
• Prepare data for AI initiatives by identifying which fields are reliable enough for machine learning
• Support compliance efforts by quantifying data against retention policies and quality standards

Plauti Context is designed for Salesforce administrators, data stewards, and data quality teams who need to trust their CRM data before automating processes, running reports, or deploying AI solutions.

Key Features

Context Library
Compose a centralized Salesforce-native repository to document field purpose, usage guidelines, and ownership. The library shows metadata statistics and provides field-level views that combine technical metadata with data quality metrics.

Analysis Jobs
Run on-demand or scheduled analysis jobs that scan your Salesforce objects for data quality issues. Choose from over twenty analysis types including fill rates, future date detection, orphaned lookups, picklist distribution, email patterns, uniqueness, and statistical outliers.

Field Filter
Create flexible list views of fields across your Context Library. Filter and analyze fields based on metadata properties and analysis results, to quickly identify fields that need attention.

Monitoring and Trends (coming soon)
Schedule recurring analysis jobs and track how data quality metrics change over time, with visual trend charts and configurable thresholds.

Why Use Plauti Context?

For AI Readiness
Identify which fields meet quality thresholds for AI models and detect impossible data that would corrupt predictions.

For Data Quality Improvement
Establish baseline metrics, track improvement over time, and demonstrate ROI to executives with trend reports.

For Proactive Management
Catch data quality issues early through scheduled monitoring and reduce time spent firefighting.

For Compliance Support
Quantify adherence to retention policies and provide audit evidence of data quality monitoring.

For Strategic Planning
Identify patterns, forecast future data health, and prioritize cleanup based on evidence rather than complaints.

Let's Get Started!

Start by Installing Plauti Context and Granting Access. Then configure objects to analyze, and run Context Jobs  to analyze your data in batch.