IDQ for Data Quality Analyst Training | DAMA Standards & Informatica IDQ Implementation Guide

Unlock the secrets of Data Quality Analysis by bridging DAMA International standards with practical implementation using Informatica Data Quality (IDQ). In this session, we dive deep into the essential techniques every Data Quality Analyst must know. Whether you are setting up a new data quality function or optimizing an existing one, this video breaks down the theoretical framework of data governance and translates it into technical execution. 🔍 Key Topics Covered in This Video: 1. Data Quality Governance Framework: We start by building the foundation. Learn how the governance sequence flows from Ethics and Values to Principles, Policies, Procedures, and finally, Solutions. We discuss real-world examples, such as how the ethic of "Truthfulness" translates into data accuracy policies and business rules. 2. DAMA International Techniques vs. Informatica IDQ: We map the 5 key DAMA data quality techniques directly to Informatica Data Quality (IDQ) components to ensure your data is "fit for business" Data Profiling: Discovering the true structure and content of data using statistical analysis (Frequency distribution, standard deviation, cross-column analysis). Effective Metrics: How to define business-relevant metrics and calculate the "Valid Data Quality Index" using IDQ Scorecards, Metric Groups, and Thresholds. Standardization & Correction: Using Managed and Unmanaged Reference Tables in IDQ for rule-based transformations and data enrichment. Root Cause Analysis: utilizing drill-down features in profiling reports to identify specific record-level issues. 3. Launching a Data Quality Function: A step-by-step guide for Data Architects and Lead Analysts on how to operationalize data quality: Defining Scope: Choosing between Enterprise Data Quality vs. Business-Specific scope. Roles & Responsibilities: Understanding the critical roles of the Project Sponsor, Program Manager, Data Owner, and Data Steward. Proving ROI: How to demonstrate Return on Investment through Operational Efficiency (reusability, time-to-detection reduction) and Risk Reduction. The Steering Committee: The importance of regular executive reviews to align data quality with strategic initiatives. 4. The Data Quality Framework: What to present to auditors when asked for your framework. We review the 9 DAMA-recommended points, including Business Glossaries, Rule Specifications, and Integration with Data Catalogs (EDC). 👨‍🏫 About the Speaker: Tari Ahmed is a CDMP Master with 20 years of industry experience in Data Management and the founder of Data Artists by DAS Solutions. 💡 Why Watch? If you are looking to master Informatica Data Quality, understand DAMA DMBOK principles, or need to justify the ROI of Data Quality to stakeholders, this comprehensive guide provides the answers. Watch More: Informatica Data Quality (IDQ) Training Day 1 | Data Quality Concepts & Architecture: https://youtu.be/c4zu5s2Otkw?si=UvshFT7Pm6NceUTy Informatica Data Quality (IDQ) Day 2 | Analyst vs Developer Roles Explained https://youtu.be/JEOy-1p0qe0?si=6doB748HfBE6sVb5 More info about Training and counselling: www.emergenteck.in #DataQuality #Informatica #DAMA #DataManagement