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    iShield Solutions Series, Platform & AI · Data

    Sovereign Data Fabric & Master Data

    Trusted Golden Records, Served from Where the Data Legally Lives

    Sovereign Data Fabric & Master Data combines Nexus Master Data Management, which creates and stewards golden records, with the iShield Link data fabric, which serves queries in place under residency, masking and lineage rules.

    Federated query, lineage, consent and golden records — without copying data across borders.

    The journey at a glance

    1. Connect sourcesData Fabric (Federated Query) · iShield Link
    2. ProfileMaster Data Management
    3. MatchMaster Data Management
    4. StewardMaster Data Management
    5. PublishMaster Data Management
    6. Serve in placePII Redactor · Consent Enforcer · iShield Link
    7. Trace lineageMaster Data Management
    8. ConsumeAnalytics Hub

    The enterprise challenge

    Govern the record centrally. Serve the data in place.

    Core entities are duplicated across systems, so reports disagree and integrations spread errors.

    • Conflicting reports
    • Duplicate records
    • No lineage

    Customer, supplier, asset and product data is duplicated across ERP, CRM, HR and operational systems. Each copy is slightly different, and reports built on different copies disagree.

    Copying everything into one central store is often not allowed: personal data has residency rules, and some regulators expect it to stay in-country. The workable pattern is to govern the golden record centrally and serve the data from where it lives, with the lineage of every value traceable.

    Solution overview

    Combine iShield Link's federated data fabric with Nexus Master Data Management to build golden records (customer, supplier, asset, product) and serve queries from where data legally lives — with residency-aware routing, field-level masking and full lineage.

    Buyer challenges

    • Reports that disagree

      Departments report different figures for the same customers, suppliers and assets.

    • Duplicates spread by integrations

      Every new interface copies existing errors into another system.

    • Residency limits on central copies

      Personal data cannot simply be moved into one central store.

    • No lineage when questions are asked

      Nobody can show where a value came from or who decided it.

    Decision owners

    Chief data officer
    Data domains, the stewardship model and quality targets.
    Data stewards
    Low-confidence merges and quality rules for their domain.
    System owners
    Which source is authoritative for each attribute.
    Data protection officer
    Residency, masking and consent policies applied by iShield Link.
    Who this servesChief data officerData stewardsSystem owners
    Cross-platform relationships

    How the platforms work together

    This is a cross-product solution. Each platform keeps its own responsibility; none of them is presented as a module of another.

    Why this composition

    Federation without MDM produces fast wrong answers; MDM without federation forces data copies that break PDPL. Joined, you get golden records served from where the data legally lives.

    • Anchors the solution's operating workflow, records and governance through the modules in the journey above.

    Modules included across iShield

    The complete published composition of this solution.

    End-to-end enterprise journey

    A governed data supply chain across a residency boundary

    Sources stay where they are. Step through profiling, matching and stewardship into a golden record, then see how consumers are served across the residency boundary without copying the data.

    1. Connect sources · Data Fabric (Federated Query)
    2. Profile · Master Data Management
    3. Match · Master Data Management
    4. Steward · Master Data Management
    5. Publish · Master Data Management
    6. Serve in place · PII Redactor · Consent Enforcer
    7. Trace lineage · Master Data Management
    8. Consume · Analytics Hub

    Stage 1 of 8 Connect sources

    Data Fabric (Federated Query) · iShield Link

    Source systems are connected through the data fabric, which reads data in place instead of copying it across borders.

    Decision
    System owners approve which sources and fields are connected.
    Exception path
    Sources that cannot be read in place are listed for a residency decision.
    Recorded as
    Connected source catalog
    Golden record: sources on the left, governance in the centre, consumers on the right; the dashed line is the residency boundary that data does not cross. Illustrative process, not a product screen.

    This journey shows how responsibilities are intended to divide between the platforms. It describes an operating model, not a pre-built integration between them.

    Participating modules

    Who does what in this solution

    Each module keeps its own responsibility. Nexus modules link to their accepted module pages; modules from other platforms link to that platform.

    ModulePlatformResponsibility in this solutionHands on to
    Master Data ManagementiShield NexusProfiles, matches, stewards and publishes golden records with lineage.Golden records to subscribing systems and Analytics Hub
    Analytics HubiShield NexusReports on consistent, mastered data.Executive views and scheduled reports
    Governance and accountability

    Decisions, exceptions and who owns them

    Stewardship, lineage and change logs apply to golden records.

    1. Set source authority per attribute

      Accountable owner
      System owners
      Evidence recorded
      Survivorship rules and their approval
      Exception path
      Conflicts escalate to the domain owner.
    2. Merge or split a low-confidence match

      Accountable owner
      Data steward
      Evidence recorded
      Stewardship decision with lineage
      Exception path
      Unresolved cases escalate.
    3. Set residency and masking policy

      Accountable owner
      Data protection officer
      Evidence recorded
      Policy version applied by iShield Link
      Exception path
      Refused cross-boundary queries are logged.
    4. Approve a quality rule change

      Accountable owner
      Chief data officer or domain owner
      Evidence recorded
      Rule version and scorecard impact
      Exception path
      Rules below target are reviewed.
    Standards and best practices

    Built around recognized practice

    Mappings describe how the end-to-end operating model aligns with recognized practice. They are not attestations or certifications.

    The operating model is a governed data supply chain: source, stewardship, golden record and consumption are separate, accountable steps, and data quality is measured at each one before values reach a report.

    FrameworkPracticeHow the solution operatesRelationship
    DAMA-DMBOK2Master and reference data management; data quality; data governanceStewardship roles, survivorship rules and quality scorecards make each golden-record domain an accountable part of data governance.Body of knowledge; alignment describes practice.Aligned practice
    ISO 8000 seriesData quality and master data exchangeGolden records carry their quality scores and provenance when they are exchanged with subscribing systems.Alignment of practice; no attestation is implied.Aligned practice
    ISO/IEC 25012:2008Data quality model: characteristics such as accuracy, completeness and consistencyProfiling and quality rules measure the characteristics the model defines before data is matched and published.Quality model used as a reference.Aligned practice

    Regulatory context

    Regulations and frameworks that organizations in this domain commonly work with. Listed as context for planning, not as a certification, attestation or out-of-the-box mapping.

    EU AI ActNCA AI EthicsISO/IEC 42001 (AI Mgmt)ISO 27001GDPRSOC 2 Type II
    AI, analytics and automation

    Intelligence in explicit modes

    AI matching proposes merges; stewards decide low-confidence cases.

    • Assistance drafts, answers or summarizes
    • Recommendation proposes for a person to accept
    • Predictive anticipates or flags
    • Workflow-triggered runs only as configured and approved
    AI itemWhat it doesModeSource
    AI matchingProposes duplicate candidates with a confidence score for rules or stewards to decide.RecommendationMaster Data Management — AI matching
    Quality rule suggestionsSuggests quality rules from profiling results for stewards to accept.RecommendationMaster Data Management — Quality rule suggestions
    Narrative summariesDrafts summaries of reports built on golden records.AssistanceAnalytics Hub — Narrative summaries
    What it does

    Core capabilities

    The solution's published capabilities.

    • Golden records

      Match, merge, steward customer / supplier / asset / product.

    Business outcomes

    What changes for the organization

    Outcomes are described qualitatively. Figures are published only once evidenced.

    • One version of the facts

      Reports across departments use the same golden records.

    • Accountable data

      Every domain has stewards, rules and recorded decisions.

    • Data that stays where it must

      Consumers are served in place under residency and masking rules.

    • Explainable values

      Lineage shows where each value came from and who decided it.

    What sets this solution apart

    1. Govern centrally, serve in place

      Golden records are governed in Nexus while iShield Link serves the data from where it legally lives.

    2. Stewards decide the hard cases

      AI matching proposes, rules handle the clear cases and accountable stewards decide the rest.

    3. Lineage from source to report

      Every published value carries its source, rule and stewardship history.

    Planning and reference

    Delivery and industry context

    Planning information carried over from the solution record.

    30 / 60 / 90-day value plan

    Days 0–30 — Foundation

    Stand up the iShield workspace, integrate sources of truth, ingest baseline data.

    • Tenant provisioned in chosen region (KSA / UAE / EU / US)
    • SSO + RBAC mapped to enterprise identity (Entra ID / Okta)
    • Top 5 integrations connected and reconciled
    • Baseline KPIs measured before any change

    Days 31–60 — Activation

    Turn on automation, AI agents and guardrails for the priority value stream.

    • Workflows live for the top 3 use cases
    • Link AI agents enabled with explicit guardrails and approvals
    • Power-user enablement and admin training complete
    • First measurable KPI improvement vs baseline

    Days 61–90 — Scale

    Industrialize, roll out to additional teams, prove ROI to the steering committee.

    • Solution rolled out to additional business units / geos
    • Executive dashboard with target vs actual outcomes
    • Continuous improvement backlog established
    • Signed ROI memo and renewal / expansion plan

    Personas served

    CTOChief Data OfficerChief AI OfficerHead of IntegrationHead of ArchitectureLead Data Engineer

    Illustrative industry scenarios

    Representative situations by industry. Regulations named here are context, not certifications or commitments.

    Energy, Oil & Gas

    Sovereign Data Fabric & Master Data extended to OT estates via iShield Link OT bridge.

    Public Sector (KSA Vision 2030 / UAE Digital Government)

    Sovereign Data Fabric & Master Data delivered on sovereign cloud with NCA / TDRA alignment.

    Healthcare

    Sovereign Data Fabric & Master Data with HIPAA / NPHIES-aware data flows and PHI guardrails.

    Bring Sovereign Data Fabric & Master Data to your enterprise

    Get a tailored plan with phased delivery and a deployment proposal.

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