Description

Applicable to Master Data Management SaaS – Customer 360 (C360) or Master Data Management SaaS – Supplier 360 (S360).

Analyze the source data to understand its structure, quality, completeness, and consistency.

Extend out-of-the-box data model and define source to target mappings, key data relationships, and any transformations to be applied on the data during the Master Data Management SaaS (MDM SaaS) ingress process.

Configure re-usable Cloud Data Quality rules. 

Configure data as a service (DaaS) license keys and integrate address, phone and/or email verification services with Master Data Management SaaS – Customer 360 (C360) or Master Data Management SaaS – Supplier 360 (S360) (if licensed).

Define and configure Master Data Management SaaS – Reference 360 (Ref360) extensions and integrate with the Master Data Management SaaS – Business 360 data model.

Extract, transform and load (ETL) foundation design and configuration for an MDM SaaS data source, including mapping, workflow steps and transformation logic. 

Customer Prerequisites
Business/Technical Outcomes

• Detection of anomalies, outliers, and inconsistencies in the data that could be addressed during the MDM SaaS ingress process

• Enhanced data governance through data profiling, which may provide insights into data quality issues and help establish data governance policies and procedures that aim to ensure data integrity and compliance

• Data transformation rules, data quality rules and definitions for up to fifteen (15) attributes (one (1) rule per attribute), and exception handling strategy for up to three (3) attributes configured

• Access to real-time enrichment of address, phone and/or email data (as licensed or subscribed)

• Users introduced to the concepts of creating and managing code lists and crosswalks for the reference data

• Cloud Data Integration mapping and task flow assets defined for up to two (2) data sources, not to exceed ten million unconsolidated records (includes out-of-the-box data elements and up to forty (40) custom fields)

• Exception handling strategy defined

Document Deliverables

•  Data Profiling Report: Summarizes the findings from data profiling activities, including data quality metrics, anomalies, patterns, and recommendations for improvement

• ETL Mapping Document: Detailed specification of mappings, transformation rules, and dependencies

• DaaS Configuration Steps Document

• Links to Ref360 documentation

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Engagement Details
Catalog Type

PSU Catalog

Units Required

53

Products

Customer 360

Supplier 360

Engagement Type

Professional Services Units

Adoption Stage

Configure

Design

Implement

Use Cases & Tags

Application Modernization

Generative AI

Regulatory Compliance & ESG

Supply Chain Optimization

Engagement ID

PSU-MDM-043

Units Range

51-100 units

Release Date

February 2025

Offering Type

MDM C360 Rapid

MDM S360 Rapid

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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