Description

Build data standardization/cleansing rules and incorporate them into a simple profile to demonstrate outcome using Cloud Data Quality (CDQ).

Customer Prerequisites
Business/Technical Outcomes

• CDQ rules determined to help cleanse/standardize data against business requirements; profiles executed with standardization rules attached to demonstrate outcome of rules; analysis performed to evaluate rule outcomes and corrections

• Up to three (3) simple, unique standardization rules developed and applied against one (1) source table in one (1) cleanse data pipeline (mapping)

Document Deliverables

• Standardization Business Requirements Document

• Data standardization profile analysis results

• Implementation Plan

• High-level Design Document

• Simple cleanse creation presentation slides

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Engagement Details
Catalog Type

PSU Catalog

Units Required

7

Products

Cloud Data Quality

Engagement Type

Professional Services Units

Adoption Stage

Configure

Implement

Use Cases & Tags

Application Modernization

Cloud Modernization

Generative AI

Regulatory Compliance & ESG

Supply Chain Optimization

Engagement ID

PSU-CDQ-007

Units Range

1-25 units

Release Date

October 2024

Offering Type

A la carte

CDQ MVP

Data Democratization MVP

Additional Information

Professional Services Units can be converted into Training Units upon written request submitted to the Customer’s assigned Informatica Delivery Manager. The conversion ratio is one (1) Professional Services Unit to ten (10) Training Units. The converted Training Units can be used for any training currently offered in the Informatica University catalog other than training subscriptions. View available learning paths or log in to browse the full Informatica University catalog at https://now.informatica.com/All-Training-Paths.html. Educational Services are governed by the description and terms at https://now.informatica.com/Informatica-University-Terms.html.

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