Enterprise Data Management & Governance

Establish single source of truth with data governance, quality, and master data management

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Data Management Strategy

Enterprise data management (EDM) establishes policies, processes, and technologies ensuring data is accurate, consistent, secure, and accessible. Poor data management costs enterprises $15M annually through duplicate records (30% of CRM data), inconsistent definitions, and compliance violations. AGM Network EDM implementations achieve single source of truth, 99% data quality, and 70% faster analytics delivery.

EDM Pillars:

  • Data Governance: Policies, stewardship, accountability (RACI model)
  • Data Quality: Profiling, cleansing, monitoring, remediation workflows
  • Master Data: Golden records for customers, products, suppliers, assets
  • Metadata: Business glossaries, data dictionaries, lineage tracking

Data Management Services

Governance Framework

Define data governance council, stewards, policies. Implement DAMA-DMBOK framework.

Data Quality

Profile source systems, define quality rules, automate cleansing. DQ scorecards with KPIs.

Master Data (MDM)

Consolidate customer, product, supplier data. Multi-domain MDM with matching, merging, survivorship.

Metadata Management

Business glossary with data dictionary. Automated lineage from source to report.

Data Cataloging

Discover and catalog data assets. Self-service discovery with search and tagging.

Compliance

GDPR, CCPA, HIPAA compliance. Data classification, retention policies, privacy controls.

EDM Technology Stack

AGM Network implements EDM with enterprise platforms:

📚 Collibra

Data governance, catalog, quality, privacy. Workflow-driven stewardship with operating model.

🔍 Informatica

MDM, data quality, catalog (CLAIRE AI). Cloud data management with CDGC.

🏢 IBM InfoSphere

MDM (Customer 360, Product 360), data quality, information governance catalog.

☁️ Alation

Data catalog with behavioral intelligence. Crowdsourced curation, query-based lineage.

🎯 Talend

Data quality, integration, MDM. Open-source with cloud-native deployment.

Implementation Approach

Phase 1: Assessment

Current state analysis, data landscape inventory, maturity assessment. Define roadmap and business case.

Phase 2: Framework

Establish governance council, define policies, assign data stewards. Create RACI matrix.

Phase 3: Technology

Implement MDM, data quality, catalog tools. Build data pipelines and integration.

Phase 4: Operationalize

Train stewards, launch pilot domains, scale enterprise-wide. Change management program.

Establish Your Data Foundation

Achieve single source of truth and 99% data quality with AGM Network enterprise data management.

Get Started Call +1-619-500-3442