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P360 Data Modeling & Data Ingress
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. The ingress process will also be used for initial data migration.
Configure re-usable simple complexity and/or medium complexity Cloud Data Quality (CDQ) rules.
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.
Note: Simple complexity CDQ rules are typically built interactively through the rule builder in CDQ and contain up to three (3) conditional checks. If using a mapplet, they contain up to three (3) transformations. Medium complexity CDQ rules require technical developer skills. They typically contain four to five (4-5) transformations and over three (3) conditions. Complex CDQ rules typically involve advanced transformations, such as parser or address validation. Informatica will evaluate and confirm the complexity level of the CDQ rules after gathering Customer requirements.
• This catalog item requires Customer to engage Informatica to provide the full Master Data Management SaaS - Product 360 solution from initial design through deployment
• Customer to provide access to source data, including connection details, user accounts, table definitions, etc.
• Customer to provide list of its business and technical subject matter experts and ensure their availability for review and feedback
• Functional requirements and business objectives documented and made available
• Source objects identified and made available
• 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
• Simple complexity and/or medium complexity 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
• Users introduced to the concept of dynamic attributes on hierarchy and product level
• 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
• 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
• Links to Ref360 documentation
• Configuration Specification Document
PSU Catalog
68
Product 360
Professional Services Units
Configure
Design
Implement
PSU-MDM-091
51-100 units
July 2026
MDM P360 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.