Work With Us
Let’s chat and see how we can help.
How it Works
Use Cases for PDI Data Validation Framework
The PDI Data Validation Framework is an AI-driven solution that automates the verification of migrated datasets, ensuring accuracy and consistency between legacy and modern systems. Below are key use cases demonstrating its impact on ETL Validation, Data Warehouse Integrity, and BI Report Accuracy.
Key Features
-
Automated Data Reconciliation: Compares source and target environments for completeness.
- Integrity Checks: Detects discrepancies in data values, schema structures, and missing records.
- Audit-Ready Reports: Generates compliance-ready validation reports.
- Real-Time Alerts: Notifies stakeholders of validation errors.
Benefits
-
Data Accuracy & Consistency: Ensures high data accuracy and consistency post-migration.
- Automated Validation: Reduces manual effort in validation and reconciliation.
- Regulatory Compliance: Helps meet regulatory compliance requirements.
-
Disruption Minimization: Minimizes business disruptions caused by incorrect data migrations.
Sample Use Case 1: ETL Validation Use Case
Scenario: Ensuring Data Accuracy During ETL Migration
Business Challenge:
A global insurance company migrating its ETL pipelines from Informatica PowerCenter to AWS Glue faced challenges in validating data transformations, ensuring completeness, and detecting anomalies in the new system.
Solution with PDI Data Validation Framework:
-
Automated Data Comparison: Automates comparison between source and target datasets to detect inconsistencies.
- Transformation Integrity Checks: Performs transformation integrity checks, ensuring ETL logic has not altered the data.
- Real-Time Validation Alerts: Generates real-time validation alerts for missing or duplicate records.
Benefits:
-
Minimize Validation - 30% reduction in validation efforts through automation.
-
Data Integration - Ensures data integrity during ETL migration, preventing errors.
-
Faster Deployment - Accelerates go-live readiness by identifying and resolving discrepancies early.
Sample Use Case 2: Data Warehouse Integrity Use Case
Scenario: Verifying Data Consistency During Cloud Data Warehouse Migration
Business Challenge:
A healthcare provider transitioning from an on-premises Oracle Data Warehouse to Google BigQuery needed to validate billions of records across complex schemas while maintaining regulatory compliance.
Solution with PDI Data Validation Framework:
- Schema Alignment: Performs schema comparison between the legacy and cloud environments.
- Data Quality Validation: Validates large-scale data sets for completeness, duplication, and format accuracy.
- Compliance Reporting: Generates compliance-ready reports ensuring adherence to HIPAA and GDPR regulations.
Benefits:
- Faster Validation: 50% faster validation with AI-powered reconciliation.
- Audit-Ready Compliance: Regulatory compliance ensured with audit-ready validation reports.
- Proactive Disruption Mitigation: Minimal business disruption by proactively resolving discrepancies before production deployment.
.png?height=2000&name=Solution%20with%20PDI%20Data%20Validation%20Framework_%20-%20visual%20selection%20(2).png)
Sample Use Case 3: BI Report Accuracy Use Case
Scenario: Maintaining Data Consistency in BI Report Migration
Business Challenge:
A retail company migrating from SAP BusinessObjects to Power BI needed to ensure reports reflected the same KPIs, calculations, and data integrity as in the legacy system.
Solution with PDI Data Validation Framework:
- Cross-Platform Comparison: Compares BI reports across platforms, validating aggregation logic and business metrics.
- Integrity Issue Detection: Identifies missing, mismatched, or altered report values that could impact decision-making.
-
Automated Workflows: Automates validation workflows, reducing reliance on manual data checks.
Benefits:
- Faster Validation: 40% reduction in report validation time, ensuring consistency across BI platforms.
- Enhanced Analytics Trust: Improved trust in analytics, reducing discrepancies in decision-making dashboards.
- Real-Time Transition: Seamless BI transition with real-time validation alerts and reconciliation tools.
.webp?width=2000&height=1643&name=Solution%20with%20PDI%20Data%20Validation%20Framework_%20-%20visual%20selection%20(3).webp)
Feedback From Customers
Yatish Bhatia
Vice President – Technology, ICICI Lombard
“Migrating to IDMC from Informatica PowerCenter ensured a seamless transition of our decades of data integration workload into a modern administration-free platform with better performance. We were able to harness our team’s extensive experience with Informatica low code, no code products and retool our employee base with relative ease. The migration factory from Informatica and the Data Validation Framework from PDI, our chosen System Integrator, ensured we didn't have to change any of our business logic and validate the data in an automated and auditable way using the new cloud platform.
A migration of this scale was not a small and easy one. But PDI who worked on it were always ready to be flexible as and when we requested. This team went beyond their commitment and delivered this project within the timelines we wanted them to complete, and this does not happen very often. We are fortunate to have worked with this amazing TEAM PDI who delivered what they promised”
