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Master Data Management Strategy & Design.

Design the master data management program that gives your organization a single, trusted view of its most critical data — and makes that view the foundation your analytics, operations, and AI depend on.

Data Management Services

The Situation — When Clients Come to Us

Organizations come to us for MDM strategy and design when:

  • Customer, product, supplier, location, or financial master data exists in multiple disconnected systems — each maintaining its own version — creating conflicting records, operational inefficiencies, and analytics failures
  • An ERP transformation (SAP S/4HANA, Oracle, or equivalent) is planned or underway and requires MDM architecture and data governance design before cutover to prevent bringing legacy data problems into the new environment
  • A merger, acquisition, or system consolidation has created overlapping master data domains that need a governance and architecture framework to rationalize and unify
  • AI, analytics, or digital transformation programs are delayed because master data quality and consistency can’t be guaranteed across the systems those programs depend on

What We Do — Our Approach

  1. // Phase 1

    MDM Maturity & Domain Assessment

    We assess the organization's master data landscape across all relevant domains — customer, product, supplier, location, financial, and others. We inventory source systems, document current-state data flows, identify systems of record, and assess master data quality and consistency issues across domains.

  2. // Phase 2

    MDM Strategy & Architecture Design

    We develop the MDM strategy — defining scope, domain priorities, governance model, and the MDM architectural pattern best suited to the organization (registry, consolidation, coexistence, or centralized authoring) — and translate it into a target-state MDM architecture with integration requirements, golden record design, and data flow specifications.

  3. // Phase 3

    Data Standardization & Quality Framework

    We design the data standardization rules, matching and survivorship logic, deduplication approach, and quality controls for each master data domain — ensuring the golden record is accurate, complete, and maintainable.

  4. // Phase 4

    Governance Design for MDM

    We design the MDM governance operating model — ownership roles, stewardship workflows, data approval processes, and audit controls — that sustains master data quality after implementation.

  5. // Phase 5

    Platform Selection Advisory & Implementation Guidance

    We provide vendor-neutral MDM platform evaluation (Informatica MDM, Reltio, SAP MDG, Stibo, or others) against the architecture design and organizational requirements. Platform configuration and implementation is performed by the client or a technology partner, with Iknow providing design authority and quality oversight.

What You Get — Deliverables

  • MDM maturity assessment and domain inventory report
  • MDM strategy document with scope, domain priorities, and architectural pattern recommendation
  • Target-state MDM architecture design — integration specifications, golden record design, and data flow diagrams
  • Data standardization rules, matching logic, and survivorship specifications by domain
  • MDM quality control framework and acceptance criteria
  • MDM governance operating model — ownership roles, stewardship workflows, and audit controls
  • Vendor-neutral MDM platform evaluation with selection recommendation
  • Implementation guidance package for the client or technology partner
  • Phased MDM implementation roadmap with milestones and effort estimates

A single trusted view of your master data is the foundation everything else depends on.

Every Iknow MDM engagement is designed around your specific domains, systems, and organizational model — not a platform vendor’s reference architecture.

Contact Iknow