Informatica Data Quality (IDQ) Online Training

Informatica Data Quality is a leading enterprise platform used to profile, cleanse, standardize, enrich, and monitor data across operational and analytical systems. This training enables professionals to architect and implement high-quality, reliable data pipelines that strengthen data governance, MDM initiatives, regulatory compliance, reporting integrity, and enterprise analytics maturity. This instructor-led learning experience blends tool enablement + business rule design + real-world data remediation to help participants grow into Data Quality Analysts, IDQ Developers, Data Stewards, and Data Governance Specialists.

Course Objectives

Assess, diagnose, and score data quality across systems and domains
Build reusable data quality workflows, rules, match-merge strategies, and scorecards
Implement cleansing and standardization logic using global dictionaries and accelerators
Collaborate with Data Governance and MDM teams to enable enterprise stewardship
Monitor ongoing data quality using dashboards and automated alerts

Course Modules

Module 1: Introduction to Data Quality & IDQ
- What is Data Quality and Why It Matters
- Data Governance & Stewardship Frameworks
- Informatica Data Quality Architecture Overview
- Developer, Analyst & Administrator Roles in IDQ
Module 2: Data Profiling
- Profiling Data Sources (Files, RDBMS, Cloud)
- Column & Rule Profiling Techniques
- Identifying Patterns, Outliers & Null Distributions
- Data Domain Discovery & Data Similarity
Module 3: Standardization & Cleansing
- Cleanse Functions & Transformation Rules
- Address Standardization & Parsing
- Global Dictionaries, Sequence Generators & Edit Distance
- Data Normalization & Standard Pattern Enforcement
Module 4: Matching & Deduplication
- Match-Merge Concepts & Identity Resolution
- Deterministic vs Probabilistic Matching
- Composite Key Strategies
- Survivorship Rules & Golden Record Creation
Module 5: Data Quality Rules & Workflows
- Building Mapplets & Reusable Business Rules
- Orchestrating Data Quality Workflows
- Exception Management & Data Remediation Processes
- Error Logging, Drill Down, and Audit Trails
Module 6: Scorecards & Dashboards
- Creating Business-Facing Scorecards
- Rule Threshold Management & KPI Monitoring
- Publishing & Collaboration with Business Users
Module 7: Integration & Enterprise Deployment
- Integrating IDQ with MDM Hub
- Calling DQ Rules from PowerCenter / Cloud IICS
- Batch & Real-Time Deployment Patterns
- Versioning, Promotion & Production Best Practices
Module 8: Real-Time Project Case Scenarios
- Customer Data Unification & Duplicate Resolution
- Product Master Standardization & Attribute Quality
- Governance Workflow for Financial Data Controls
- Data Compliance Remediation (HIPAA / GDPR / SOX)

Target Audience

Data Quality / Data Governance Professionals
ETL / Data Integration Developers
MDM Developers & Architects
Business Data Stewards & Data Analysts
BI / Reporting & Analytics Teams

Why Learners Prefer Our IDQ Program

Live instructor-led training with scenario-based workshops
Production-grade project templates included
Mentor support for interviews and career transition
Flexible session timing & lifetime access to recordings
Enterprise case studies aligned to modern data platforms

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Client Feedback

Thanks, you guys provided the best online training in SAP BODS. The hands on training is very informative and helpful.

- David Sergi, Camaga Ltd; U.K