Infomatica Data Quality for Analysts 10.2x

Informatica Data Quality for Analysts 10.2x is an introductory course designed to help business and data analytics professionals understand the importance of data quality and how to assess and improve the accuracy, completeness, validity, and consistency of data. This course provides an overview of the key steps in the Data Quality Process, including the use of Informatica products and features for analyzing data quality. It also covers essential skills for maintaining and improving data quality in the long term.

Topics includes:
• Introduction to data quality
• Overview of the Data Quality process
• Using Informatica Analytic Services to analyze data
• Working with reference data
• Using scorecards and rules to evaluate data
• Implementing business process refinement
• Using data stewardship to ensure data accuracy and consistency
• Creating dashboards and data visualizations
• Using data integration to enhance and update data
• Working with business rules to enforce accuracy and consistency
• Using data cleansing and enrichment to improve data

Data Quality Management

• Data Quality Problems
• Data Quality Services
• Data Quality Management Process

Working with Analyst

• Navigating through the Analyst Interface
• Connection & Projects
• Analyst Objects
• Mapping Specification

Profiling with Analyst

• Profiling
• Creating Profiling Rules
• Create & run Scorecards
• Lab #1: Import Flat Files and Connect to Tables
• Lab #2: Profiling, Mapping Specification, Rules and Collaboration

Reference Table

• Definition
• Create and manage Reference tables
• Lab #3: Reference Table Management
• Lab #4: Scorecarding

Data Domain Discovery (Advanced Data Profiling)

• What are Data Domains
• Data Domain Discovery
• Entity Discovery
• Enterprise Discovery in Analyst tool
• Lab #5: Data Domain and Enterprise Discovery

Rule Specification

• Definition
• Features
• Rule Logic
• Validate, Test & Generate Rules mapplets
• Lab #6: Rule Builder

Project Collaboration

• Add Tags & comments on fields
• Collaboration between Analyst and Developer