Claire GPT:
Discover, Model and Analyze Data

Instructor Led | IDMC | 1 Day | February 2025 Release

Pre-release information - changes possible

Course Overview

Learn to use Informatica’s CLAIRE GPT as a natural language interface to manage data operations including asset discovery, metadata analysis, data transformation, and SaaS integration.
You will also explore how to discover data from Data Integration and Data Marketplace.
This course is applicable to the February 2025 Release.

Objectives

After successfully completing this course, students should be able to:

  • Describe the Architecture and Core Features of CLAIRE GPT and its Integration with Intelligent Data Management Cloud Services
  • Perform Data Discovery and Metadata Exploration
  • Execute Data Transformation Tasks, including creating ELT pipelines with Data Integration
  • Utilize Sample Prompts and Intelligent Prompt Completion to efficiently manage Assets and retrieve relevant Data Insights
  • Explore Business Entities and Metadata via MDM SaaS

Target Audience

  • Business Analyst
  • Developer
  • Data Analyst
  • Data Scientist
  • End User

Prerequisites

  • None
Agenda
Module 1: Introduction to Claire GPT
  • Overview of Claire GPT
  • Navigation and User Interface
  • Starting and Managing Conversations
  • Integrating with IDMC Services
Module 2: Sample Prompts and Intelligent Prompt Completion
  • Introduction to Sample Prompts
  • Prompt Text Box Functionality
  • Leveraging Intelligent Prompt Completion
  • Lab: Exploring Sample Prompts
Module 3: Features and Functionality
  • Data Discovery
  • Metadata Exploration
  • Data Exploration
  • Data Transformation
  • Data Quality
  • MDM SaaS
  • Lab: Discovering Assets using Claire GPT
  • Lab: Exploring Asset Metadata Using Claire GPT
  • Lab: Exploring and Transform Data Using Claire GPT
Module 4: Claire GPT for Catalog and Data Integration
  • Role of Claire GPT in CDGC and CDI
  • Asset Search, Metadata Checks, and Filtering
  • Data Transformation via CDI
  • Lab: Obtaining Data for Target Campaign Analysis
  • Lab: Building a comprehensive Sales Performance Report
 
Module 5: Data Quality Assessment and Improvement with CLAIRE GPT
  • Data Summary and Outlier Identification
  • Diagnosing Data Quality Issues
  • Data Quality Rule Recommendations
  • Data Quality Scoring and Monitoring
  • Exploring Business Lineage for Quality Diagnostics
  • Analyzing Data Quality Metrics
  • Lab: Managing Quality of Assets using CLAIRE GPT
Module 6: Leveraging Claire GPT for CDMP (Cloud Data Marketplace)
  • Overview of CDMP Integration
  • Data Discovery in Marketplace
  • Order and Task Management
  • Terms of Usage and Data Collection Insights
  • Lab: Data Discovery and Consumption Using Data Marketplace
Module 7: Using Claire GPT for SaaS Solutions
  • Overview of MDM SaaS Integration
  • Data Discovery Techniques in MDM SaaS
  • Metadata Exploration of Business Entities
  • Data Exploration for Reporting
  • Lab: Discovering and Exploring Business Entities in Customer 360


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