MDM & Reference Data Management
To unlock the full value of data and AI, organizations must ensure their core business entities and reference standards are accurate, consistent, and governed. Our MDM and Reference Data Management services enable the creation of golden records, domain-driven data alignment, and standardized classifications and hierarchies across systems. This foundation ensures data integrity for enterprise operations, regulatory compliance, and trustworthy AI adoption at scale. We help you establish scalable models, stewardship frameworks, and federated governance for master and reference data to power intelligent decision-making and cross-functional insights.
Master Data Domain Modeling
We define core domains like customer and product with standardized rules, aligning enterprise-wide data to enable unified decision-making.
Golden Record Creation & Matching
We generate golden records using smart matching and survivorship logic to ensure one version of truth across fragmented systems.
AI-Ready MDM Governance
We embed stewardship, lineage, and policy frameworks to ensure that master data supports future AI, automation, and compliance needs.
Reference Data Standardization
We normalize classifications and hierarchies, standardizing codes and values to enable reliable reporting, data exchange, and predictive modeling.
Federated Reference Data Management
We implement federated models with local flexibility and global oversight to govern reference data at scale across business functions.
RDM for Regulatory & AI Use Cases
We align reference data with regulatory structures and AI pipelines—ensuring valid training sets and compliant, explainable model outputs.