Master Data Management for AI Success: The Importance for Oracle Customers
Last Published: Oct 09, 2025 |
Table Of Contents
Most enterprises are managing vast and complex data landscapes across hybrid and multicloud environments.
During Oracle’s Earning’s call in July 2025, Larry Ellison, Executive Chairman, CTO and co-founder of Oracle stated “most of the world's valuable data is stored in an Oracle database,” explaining that “all of those databases are moving to the cloud: Oracle's cloud, Microsoft's Azure cloud, Amazon's cloud, or Google's cloud.”
Ellison’s insights underscore how dispersed the ever-growing amount of critical enterprise data is. At the heart of every business agenda is AI, and a single, critical requirement will separate those successful AI projects from those that fall short: unified, trusted data.
AI and large language models (LLMs) demand quality and consistency in training data. That’s where Master Data Management (MDM) plays an indispensable role.
The Multi-Application, Multi-Database Reality for Oracle Customers
The average enterprise uses over 1,000 applications to run its business. Most Oracle customers run core enterprise systems such as Oracle Fusion ERP or SAP on Oracle databases, often integrated with SaaS platforms like Salesforce, Workday, and ServiceNow. Alongside these, many have developed custom applications leveraging diverse databases such as MongoDB (NoSQL) and PostgreSQL (relational) to meet their unique business requirements. Further complicating this environment are data warehouses, lakes, and lakehouses on Oracle Cloud Infrastructure (OCI), Microsoft Azure, Google Cloud and AWS -- all holding massive volumes of analytical data.
This jigsaw puzzle of data repositories, each optimized for different use cases and built at various times, leads to the notorious enemy of data-driven decision-making: data silos. Without a cohesive data strategy, these data silos will stymie the success of AI initiatives which is why every enterprise needs trusted master data.
The Challenge of Inconsistent Identifiers and Fragmented Data
Imagine a typical enterprise environment, where a customer’s information differs and conflicts across different systems. Perhaps product codes, currency representations, or location identifiers don’t align across databases. These inconsistencies create confusion, errors in transactions, unreliable analytics, and in the case of AI, can lead to hallucinations or results that are unreliable or just plain wrong.
Data fragmentation due to unique application identifiers and disparate data models hampers business agility, leading to:
- Multiple conflicting records for the same entity
- Inaccurate or partial customer views and understanding
- Compromised AI and LLM outcomes due to poor source data quality
Without a central mechanism to reconcile these differences, enterprises risk operational inefficiencies and failed AI projects. So how does an enterprise solve this puzzle of fragmented, inconsistent data?
How Master Data Management (MDM) Addresses These Challenges
MDM solves this puzzle by providing a unified layer that cross-references and reconciles disparate data sources into a single, trusted version of key business domains, such as customers, products, or suppliers. It eliminates data conflicts by automatically identifying the most trusted data attributes from across applications and systems, then brings them together into a trusted master record for each business entity. This ensures all system references are consistent, and identifiers are accurate and uniform.
These key MDM capabilities deliver:
- Automated data cleansing and de-duplication
- Sophisticated matching and merging of data attributes into a master record
- Intelligent cross-system identifier mapping
- Comprehensive relationship management
- Enterprise-wide data governance enforcement
By synchronizing master data across transactional and analytical systems, MDM enables coherent business processes and reliable analytics to:
- Enhance customer experience through unified, accurate customer profiles
- Streamline product launches and digital commerce with consistent product information
- Optimize supply chain operations with reliable supplier and inventory data
- Improve financial management through standardized hierarchies and reference data
- Accelerate business insights through trusted enterprise-wide analytics and reporting
As organizations increasingly embed AI to automate these business processes, the quality and consistency of master data is even more critical.
The Informatica and Oracle Partnership: Leveraging Informatica MDM on OCI
As a preferred partner for data integration, data governance, and MDM for data warehouse and lakehouse solutions on OCI, Informatica works closely with Oracle to enable our customers to resolve these multi-cloud, multi-application data challenges. The upcoming availability of Informatica MDM natively on Oracle Cloud Infrastructure (OCI) will enable our joint customers to have confidence in their analytics and AI results, knowing they can now have confidence in their data.
Informatica MDM on OCI Features
Native Integration Excellence
- Direct connectivity to Oracle Fusion ERP, Oracle databases and Oracle SaaS applications
- Seamless integration with Salesforce and other SaaS applications
- Real-time, API-driven synchronization between transactional and analytical systems
Enterprise-Grade Performance
- High-performance infrastructure on OCI
- Elastic scalability for enterprise workloads
- Advanced security and compliance features
- Hybrid and multi-cloud lakehouse unification for OCI, Azure, AWS and Google Cloud
Comprehensive Domain Coverage
- Pre-built 360 applications for rapid deployment
- Industry-specific models (including Healthcare Provider 360)
- Flexible customization options
This tightly integrated solution empowers Oracle customers to unify enterprise data effortlessly and support data governance initiatives.
Powering AI Excellence Through Unified Data
As enterprises deploy AI, unified master data becomes foundational. Inaccurate or fragmented data leads to unreliable AI insights and suboptimal automation results.
By ensuring data is trusted and reconciled across all systems, Informatica MDM on OCI enables:
- Consistent training data for AI/LLMs aligned with trusted master records
- Enhanced customer intelligence through accurate 360-degree views
- Accurate product and transactional insights that drive AI-powered decision-making
MDM enables enterprises to harness AI confidently, scaling innovation while maintaining trust and compliance.
A Strategic Imperative for Oracle Customers
For Oracle customers navigating the complexities of multi-application, multi-cloud data landscapes, Master Data Management is no longer optional — it’s essential.
The availability of Informatica MDM natively on Oracle Cloud Infrastructure represents more than a technical solution; it offers a strategic pathway to accelerate AI and digital transformation initiatives, enable confident data-driven decision- making, ensure regulatory compliance and data governance and drive operational efficiency across the enterprise.
By embracing MDM as the foundation for their data strategy, enterprises transform fragmented data environments into a cohesive, trusted data fabric that powers innovation and growth. The Informatica and Oracle partnership ensures this transformation is achievable, scalable and future-ready.
To learn more, visit:
