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AI-Powered BI Observability and Migration Validation

In this video, we explore how the platform supports advanced BI use cases like observability and BI migration. The tool can monitor report outputs in production, learn from past data, and detect anomalies using machine learning—no coding needed. It supports visual and data-level comparisons between tools like Tableau and Power BI, helping you validate report accuracy after migration. Even when visual differences can’t be compared pixel by pixel, an AI-powered summary highlights what’s changed. The system also maps and checks filter and parameter differences between tools, ensuring consistency. You can reuse test cases by applying the same filter logic across both platforms. It’s a powerful solution for teams managing complex reporting environments or shifting from one BI tool to another.

📅Timestamps:
0:00 - Intro to Observability
0:12 - Deploying Observability on Reports
0:24 - Anomaly Detection with ML
0:38 - Pattern Recognition in Graphs
0:56 - Zero-Code Anomaly Detection
1:05 - Cross-BI Migration Testing
1:25 - Visual & Pixel Comparison
1:39 - AI Summary for Differences
2:01 - Filter & Parameter Mapping
2:05 - Performance Tracking
2:07 - Dynamic Filter Application
2:21 - Cross-Platform Filter Validation
2:26 - Contact & Free Demo
2:33 - Scan QR Code

📧 Contact Us: [email protected]
🌐 Free Demo: Scan the QR code in the video!
BI Validator - Automate functional, regression, stress & performance testing of BI Reports - https://www.datagaps.com/bi-validator/
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