Informatica Data Quality Overview

Tool Overview

AI-Powered Quality

Machine learning-driven data profiling and intelligent anomaly detection

ERP Native Integration

Deep integration with SAP, Oracle, Microsoft Dynamics, and other enterprise systems

Compliance Ready

Built-in compliance rules for GDPR, HIPAA, SOX, and other regulatory frameworks

Platform Capabilities

5000+

Enterprise Customers

99.9%

Data Quality Accuracy

500+

Built-in Connectors

24/7

Enterprise Support

Key Strengths

Market Leadership: Proven enterprise platform with over 20 years of data quality innovation
AI-Powered Intelligence: Advanced machine learning for data profiling and quality recommendations
Comprehensive ERP Support: Native integration with all major enterprise systems and ERPs
Regulatory Compliance: Built-in rules and templates for global compliance requirements
Scalable Architecture: Handles petabyte-scale enterprise data environments efficiently

Limitations & Considerations

High Total Cost: Significant licensing, implementation, and maintenance costs for enterprise deployments
Complex Implementation: Requires specialized Informatica expertise and extensive planning
Resource Intensive: Demands substantial hardware resources and skilled administration
Vendor Lock-in: Proprietary architecture creates dependency on Informatica ecosystem
Modern UX Gaps: Interface may feel dated compared to newer cloud-native solutions

Pricing Structure

Standard Edition

Basic data quality and profiling features

$15,000+

per server annually

Advanced Edition

AI-powered features and enterprise connectors

$35,000+

per server annually

Enterprise Edition

Full platform with unlimited connectors and support

Custom Pricing

volume-based enterprise licensing

ERP & Enterprise Ecosystem Integration

Core ERP Integration

ERP System	Integration Method	Key Features
SAP S/4HANA	Business Objects integration, IDocs, RFCs	Master data quality, transaction validation
Oracle ERP Cloud	REST APIs, database connections, ODI	Fusion middleware quality, OTBI integration
Microsoft Dynamics 365	Power Platform, Common Data Service	CRM data quality, business process flows
Workday	REST APIs, web services, studio integration	HCM data validation, payroll quality
NetSuite	SuiteTalk API, CSV imports, scheduled sync	Financial data quality, custom field validation

Complex Ecosystem Support

Platform Category	Supported Systems	Integration Approach
Cloud Warehouses	Snowflake, BigQuery, Redshift, Azure Synapse	Native connectors, pushdown optimization
Legacy Systems	Mainframe, AS/400, VSAM, COBOL	Host connectivity, file-based processing
BI Platforms	Tableau, Power BI, QlikView, Cognos	Metadata integration, quality scorecards
Data Integration	PowerCenter, IICS, Talend, SSIS	Embedded quality, data lineage
Security Tools	Privacera, Varonis, CyberArk, Collibra	Data masking, privacy controls

Industry-Specific Use Cases

Financial Services

Risk Management:	Basel III compliance, credit data validation
Regulatory Reporting:	CCAR, DFAST, MiFID II data quality
Customer Analytics:	360-degree customer view, KYC validation

Healthcare

Patient Data:	HIPAA compliance, EMR data validation
Clinical Trials:	FDA submission quality, protocol compliance
Population Health:	Multi-source health record integration

Manufacturing

Supply Chain:	Supplier data validation, material traceability
Quality Control:	Production data quality, defect tracking
IoT Integration:	Sensor data validation, predictive maintenance

Retail & E-commerce

Customer 360:	Unified profile across channels, PII validation
Product Data:	Catalog quality, price validation across channels
Inventory:	Stock level accuracy, SKU standardization

Pharmaceuticals

Drug Safety:	Adverse event reporting, pharmacovigilance
Research Data:	Clinical trial data integrity, ALCOA+ compliance
Regulatory:	FDA submission quality, global regulatory data

Government & Public Sector

Citizen Services:	Cross-agency data sharing, identity validation
Open Data:	Public dataset quality, FOIA compliance
Benefits:	Fraud detection, eligibility verification

Enterprise Customer Success Stories

JPMorgan Chase

Global investment bank using Informatica for risk data quality and regulatory compliance across trading platforms

Result: 99.9% regulatory data accuracy achieved

Kaiser Permanente

Healthcare leader leveraging Informatica for patient data quality across EMR systems and care coordination

Result: Enhanced patient safety through data quality

General Electric

Manufacturing conglomerate using Informatica for supply chain data quality and IoT sensor validation

Result: 40% improvement in supply chain visibility

Walmart Inc.

Retail giant leveraging Informatica for customer data quality across e-commerce and physical stores

Result: Unified customer experience through data quality

Pfizer Inc.

Pharmaceutical leader using Informatica for clinical trial data quality and regulatory submission compliance

Result: Accelerated drug approval through quality data

Implementation Timeline

Planning & Design (Weeks 1-4)

Requirements gathering, architecture design, and infrastructure planning

Environment Setup (Weeks 5-8)

Software installation, configuration, and initial connectivity testing

Data Source Integration (Weeks 9-16)

ERP connections, data profiling, and quality rule development

Testing & Production Rollout (Weeks 17-24)

User acceptance testing, training, and phased production deployment

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