Product / Eagle Eye
Eagle Eye – Data Observability Platform
Build Trust in Your Data with our Intelligent Observability Framework
Eagle Eye – Data Observability Platform
Build Trust in Your Data with our Intelligent Observability Framework
Product / Eagle Eye
Eagle Eye empowers enterprises to monitor, trace, and resolve data issues across the entire lifecycle - from source systems to business dashboards. Designed to proactively detect anomalies, ensure pipeline reliability, and drive faster resolution. Eagle Eye helps you turn raw data into trustworthy insights that power enterprise outcomes.
🔵Challenges Data Teams Face Today
Hidden Data Quality Issues
Data problems are often discovered only after they impact the business, causing rework, missed insights, & poor decisions.
Lack of Proactive, Real-Time Monitoring
Without continuous observability, teams stay reactive and resolve issues after the damage is done.
Tool Fragmentation and Limited Visibility
Using separate systems for alerts, profiling, lineage, and resolution increases complexity and reduces visibility.
Risk to Reliability, Security, and Compliance
Unreliable pipelines lead to downtime and reporting delays, while poor lineage tracking increases security and compliance risks.
Key Capabilities
End-to-End Data Monitoring
Track data health, lineage, and quality from source ingestion to final BI dashboards across hybrid and cloud ecosystems.
Smart Anomaly Detection
Leverage ML models to detect data drift, null spikes, missing values, and schema changes in real-time.
Root Cause Analysis (RCA)
Automatically pinpoint failures at the pipeline, job, or API level for faster resolution and minimal downtime.
Real-Time Alerting & Notifications
Trigger instant alerts through Teams, Outlook, Jira, Azure DevOps, and ServiceNow to ensure proactive incident handling.
Seamless Integrations
Out of the box compatibility with Azure, AWS, GCP, Databricks, SQL Server, Oracle, Snowflake, Fabric, etc.
Automated Data Quality Checks
Continuously validate data completeness, accuracy, consistency, and timeliness without manual intervention.
AI-Powered Chatbot Assistant
Intuitive interface to query data, perform RCA, raise tickets, and explain via Gen AI in Natural Language.
Secure & Customizable Framework
Supports business-specific rules, reconciliation logic, and ensures enterprise-grade data and metadata security.
Industry Use Cases
Banking & Financial Services (BFSI)
Ensure accuracy in KYC, fraud detection, regulatory reporting, and customer analytics.
Ensure accuracy in KYC, fraud detection, regulatory reporting, and customer analytics.
Retail & CPG
Prevent out-of-stock issues, campaign inconsistencies, and lost revenue due to bad or missing data.
Prevent out-of-stock issues, campaign inconsistencies, and lost revenue due to bad or missing data.
Healthcare
Detect duplicate patient IDs, missing records, and compliance risks across sensitive systems.
Detect duplicate patient IDs, missing records, and compliance risks across sensitive systems.
Telecom
Improve real-time dashboards and reduce customer service failures by monitoring API delays and data sync issues.
Improve real-time dashboards and reduce customer service failures by monitoring API delays and data sync issues.
Manufacturing
Optimize IoT and sensor data accuracy, reduce production downtime, and improve operational insights.
Optimize IoT and sensor data accuracy, reduce production downtime, and improve operational insights.
Energy
Facilitates reliable, real-time monitoring of sensor and operational data to prevent downtime and maintain regulatory compliance.
Facilitates reliable, real-time monitoring of sensor and operational data to prevent downtime and maintain regulatory compliance.
Education
Provides accurate, timely insights from student and academic data pipelines for improved decision-making and reporting.
Provides accurate, timely insights from student and academic data pipelines for improved decision-making and reporting.
Media and Entertainment
Delivers trusted analytics by monitoring content, ad, and audience data pipelines end-to-end.
Delivers trusted analytics by monitoring content, ad, and audience data pipelines end-to-end.
Why Choose
Eagle Eye?
AI-Powered Observability Engine.
Designed for Complex, Multi-Source Environments.
Fast Root Cause Identification and Fix Suggestions.
Scalable, Modular, and Cloud-Agnostic.
Continuous Learning from Resolved Incidents to Reduce Future Errors.
Built-in Metadata Intelligence for Context-Aware Anomaly Detection.
Before vs. After Eagle Eye Implementation
- Mean Time to Detect (MTTD)
- RCA Turnaround Time
- False Alerts
- Productivity
- Trust in Reports
- 6 hours
- 3–4 days
- Frequent and noisy
- Manual detection
- Low confidence
- 5 minutes
- 1 hour
- Reduced via intelligent learning
- 80% auto-detection
- High confidence with DQ
Eagle Eye = Data Reliability + Business Agility
Proactively resolve data issues before they affect your operations, insights, or customers.
Eagle Eye gives your teams confidence in every metric, every report, every decision.
Ready to gain complete trust in your data?
Contact us today to see how Eagle Eye can elevate your observability and ensure data-driven success.
