A software usage intelligence platform that collects and analyzes product telemetry to understand feature adoption, behavior, and usage patterns.
Vendor
Revenera Software
Revenera Usage Intelligence is designed to capture detailed data about how software products are actually used in real‑world environments. It collects runtime telemetry from deployed applications and transforms this data into structured insights that reflect user behavior, feature adoption, configuration trends, and usage frequency. The platform supports both connected and disconnected environments and is built to operate at scale across large install bases. It provides a consistent mechanism for gathering usage data without relying on manual reporting or customer surveys. Usage Intelligence focuses on helping organizations understand which features deliver value, which are underused, and how products are deployed across customer environments. This information supports product planning, lifecycle management, licensing strategy alignment, and technical decision‑making.
Key Features
Software Usage Data Collection
Captures real‑world product behavior.
- Runtime telemetry collection
- Low‑impact data capture
Feature Adoption Analysis
Identifies how features are used.
- Feature usage frequency
- Adoption and abandonment tracking
Deployment and Environment Visibility
Provides insight into customer environments.
- Platform and version distribution
- Configuration and environment data
Disconnected and Secure Data Handling
Supports restricted environments.
- Offline data collection
- Secure data transmission
Usage Analytics and Reporting
Transforms data into usable insight.
- Dashboards and visual reports
- Trend and comparison analysis
Scalable Telemetry Infrastructure
Handles large and complex install bases.
- High‑volume data ingestion
- Enterprise‑scale analysis
Benefits
Improved Product Decisions
Supports evidence‑based planning.
- Prioritized feature development
- Reduced reliance on assumptions
Better Customer Understanding
Reveals real usage patterns.
- Insight into customer behavior
- Identification of unmet needs
Optimized Product Lifecycle
Aligns development with usage.
- Focus on high‑value features
- Informed deprecation decisions
Support for Monetization Strategy
Links usage to licensing and packaging.
- Validation of pricing models
- Identification of expansion opportunities
Reduced Product Risk
Minimizes blind spots in deployment.
- Visibility into real environments
- Early detection of usage changes