Single source of truth, every domain
AI-powered master data management across customer, product, supplier, and location domains. Entity resolution, data quality, and golden records that fuel trusted analytics and agentic workflows.
AI agents need trusted master data
Master data management (MDM) is the practice of creating and maintaining a single, authoritative source of truth for critical business entities — customers, products, suppliers, and locations — across all enterprise systems through entity resolution, data quality rules, and governance workflows. When customer records are duplicated across 12 systems, product hierarchies conflict between ERP and PIM, and supplier data lives in spreadsheets — your AI is making decisions on garbage. MDM fixes the foundation.
We implement cloud-native MDM platforms — Reltio for real-time entity resolution and 360° views, Stibo Systems for product and multi-domain governance, and Informatica for complex enterprise landscapes. AI-powered matching, not rule-based deduplication.
Our implementations go beyond technology: data stewardship programs, governance frameworks, and organizational change management that ensure MDM delivers lasting value — not another shelf-ware platform.
Enterprise MDM services
From platform selection to production deployment — every dimension of master data management covered.
Reltio Implementation
Cloud-native MDM with real-time entity resolution, dynamic survivorship, and 360° entity views. Graph-powered relationships, built-in data quality, and API-first architecture for modern integration patterns.
Stibo Systems Deployment
Multi-domain MDM for product, customer, supplier, and location data. PIM/PXM capabilities, workflow-driven data stewardship, and enterprise governance with full audit trails and compliance controls.
Entity Resolution & Matching
AI-powered probabilistic matching that resolves entities across systems with 99.5%+ accuracy. Fuzzy matching, ML-trained models, and configurable match/merge rules that handle real-world data complexity.
Data Quality & Enrichment
Address validation, identity verification, and third-party enrichment (D&B, Experian). Continuous quality monitoring with anomaly detection and automated remediation workflows.
Golden Record & Survivorship
Dynamic survivorship rules that determine the best version of truth by attribute, source, and recency. Context-aware golden records that serve different views for different business processes.
Governance & Stewardship
Data ownership models, stewardship workflows, exception management, and compliance reporting. Organizational change management that builds a data culture beyond just deploying technology.
From fragmented data to golden records
A proven MDM implementation methodology that delivers measurable data quality improvements in 12 weeks.
Assess
Data quality profiling, duplicate analysis, and source system inventory. Quantify the business impact of poor master data (failed deliveries, duplicate contacts, compliance gaps).
Design
Data model design, match/merge rule configuration, survivorship strategy, and governance framework. Platform selection (Reltio, Stibo, or hybrid) based on domain requirements.
Build
Platform deployment, source system integration, initial data load, and entity resolution. Stewardship workflow configuration and exception handling automation.
Validate
Match quality assessment, golden record verification with business stakeholders, and exception review. Iterative rule tuning until match accuracy exceeds 99% threshold.
Operate
Production cutover, stewardship training, monitoring dashboards, and continuous quality improvement. Ongoing enrichment and expansion to additional domains.
MDM Program Impact
Frequently asked questions
Master data management (MDM) is the practice of creating and maintaining a single, authoritative source of truth for critical business entities — customers, products, suppliers, and locations — across all enterprise systems through entity resolution, data quality rules, and governance workflows. MDM eliminates duplicate records, resolves conflicts between source systems, and establishes golden records that serve as the authoritative reference for analytics, AI, and operational processes.
Golden records are the single best version of a business entity (customer, product, supplier) created by merging and reconciling data from multiple source systems. Dynamic survivorship rules determine which attributes to trust based on source reliability, recency, and completeness — producing a context-aware master record that different business processes can consume.
Entity resolution is the process of identifying, matching, and merging records that refer to the same real-world entity across disparate data sources. Using AI-powered probabilistic matching, fuzzy algorithms, and ML-trained models, entity resolution achieves 99.5%+ accuracy in determining which records represent the same customer, product, or supplier — even when data formats, quality, and naming conventions differ.
Maharadha implements Reltio for real-time cloud-native entity resolution and 360° views, Stibo Systems for multi-domain product and customer governance with PIM/PXM capabilities, and Informatica for complex enterprise landscapes. Platform selection depends on domain requirements, real-time needs, and existing technology ecosystem.
A first-domain MDM implementation typically takes 12 weeks from assessment to production using accelerator templates. This includes data profiling, platform deployment, entity resolution configuration, source system integration, and stewardship workflow setup. Additional domains can be onboarded incrementally in 6–8 week cycles.
Ready for a single source of truth?
From duplicate detection to golden record mastery — we'll implement MDM that your AI agents and business teams can actually trust.