Recommendations
Get Smart Suggestions That Automate the Next Best Tasks in Lightup.
Lightup Recommendations provide intelligent, contextual suggestions that optimize your Data Quality coverage — identifying gaps, prioritizing actions, and automating setup so your team can focus on what matters most.
Automated Data Quality Recommendations
Recommendations are intelligent, contextual suggestions generated by Lightup, bringing more automation, intelligence, and efficiency to how data teams optimize Data Quality across the enterprise:
- Identifying gaps in Data Quality coverage.
- Prioritizing activation of metrics, monitors, profiles, and more.
- Automating setup and fine-tuning of checks, profiles, monitors, Anomaly Detection, and more.
Instead of manually auditing datasets, Lightup constantly scans your environment, usage patterns, and configurations to surface the most impactful actions.
How It Works
By continuously learning from usage patterns in Lightup, every recommended action is prioritized by relevance and impact to optimize Data Quality and improve efficiency.
- Scan — Lightup evaluates your current configurations and usage patterns.
- Analyze — Lightup identifies gaps, patterns, and improvement opportunities.
- Prioritize — Lightup prioritizes actions to optimize your environment.
- Activate or Ignore — Activate or ignore with one click; Lightup takes it from there.
Maximize the value of every Lightup action — without manual audits and time-consuming processes.
Key Benefits
Accelerate Data Observability
Increase Efficiency
Optimize Performance
Prioritize Tasks
Join the Exclusive Beta Preview.
