Roadmap for Implementing Procurement Data Mesh in IFS Cloud

First 30 days – Prove value with one slice (Procure-to-Receive) Pick scope: focus on supplier delivery performance (OTIF). Domain setup: nominate procurement data owner (usually Procurement Manager or Category Lead). Expose projections: enable OData for PurchaseOrder, Supplier, PurchaseReceipt. Events: configure IFS Connect for delivery date changes and late ASN alerts. Lobby tiles: build a buyer dashboard showing: POs at risk by supplier Late ASN count Dock-to-stock time Governance start: define a lightweight product contract (fields, SLAs, refresh frequency). Outcome: A live procurement data product used daily, with first governance contract in place.

Next 60 days – Expand and harden Add KPIs: embed BI trends (late deliveries per supplier, OTIF history). Quality checks: implement automated tests (missing ASN, inconsistent receipt timestamps). Access governance: map buyer and approver roles to permission sets; run first quarterly access review. Event automation: route exceptions into workflows (expedite requests, supplier notifications). Versioning: publish a semver version (v1.0) of the procurement contract with change log. Outcome: Stable, governed procurement data product feeding buyers and compliance teams.

By 90 days – Scale across procurement Extend scope: include Procure-to-Pay (invoices, 3-way match exceptions). Cross-domain link: connect procurement with finance (supplier spend analysis). Template reuse: package your procurement contract, lobby tiles, and tests as a kit for rollout to other sites/domains. Governance cadence: Monthly quality review (data drift, SLA breaches). Quarterly access review. Semiannual audit prep. Measure adoption: % of buyer teams using lobby tiles OTIF improvement vs baseline Reduction in expedite costs Outcome: Procurement is a governed data domain with reusable patterns, ready to onboard other supply chain areas.

This way, procurement becomes the first domain in your IFS Cloud Data Mesh, and its practices can be scaled to inventory, sourcing, or finance.

Here is a much more detailed, technical 30-60-90 day rollout plan for applying Data Mesh in procurement with IFS Cloud. This version aligns closely with IFS methodology and best practice for project delivery, technical enablement, data product engineering, and governance.¹²

First 30 Days – Prove Value with Procure-to-Receive

Scope Focus

• Select Procure-to-Receive with a clear business outcome: supplier delivery performance (OTIF).
• Use the IFS Scope Tool to define included Main Process and Sub Process areas at L2: e.g., Purchase Order, Supplier, and Purchase Receipt.
• Document process boundaries, exclusions, and phase-2 scope in the Scope Tool and Book of Rules.

Domain Setup & Stakeholders

• Formally appoint a procurement data owner (Procurement Manager or Category Lead).
• Define roles and responsibilities using RASCI: Data Owner, Data Product Developer, Data Steward, Data Consumer (e.g., buyers, compliance).
• Use stakeholder analysis (Power/Interest grid) to identify key users, compliance, and IT support for the mesh MVP.

Enabling Data Product Capabilities

• Configure IFS Cloud OData APIs for PurchaseOrder, Supplier, PurchaseReceipt; document endpoints in the data product contract.
• Validate OData permissions: minimum required scopes for read-only access to start, extended to write if required for feedback/annotations.
• Identify and document source- and event-system (IFS Connect) integration points for delivery date changes and Advanced Shipping Notice (ASN) late alerts.
• Configure IFS Connect event channels for integration, including standard REST or SOAP endpoints as needed.¹

Dashboards & Analytics

• Build initial buyer lobby (dashboard) using IFS Lobbies and Projection Designer:
  • POs at risk by supplier (flagged by late ASN or projected delivery variance).
  • Late ASN count, dock-to-stock time via calculation fields.
• Ensure all dashboard tiles are linked to OData projections to support mesh self-service access.
• Define schema, data formats, and relevant business glossary terms, storing all in a lightweight product contract repository (e.g., Git or SharePoint).

Data Product & Governance

• Draft first procurement data product contract:
  • Document included fields, data lineage, SLAs (refresh every 2 hours), retention policies, ownership, and access.
  • Specify test coverage for core API responses (contract tests), basic pipeline health checks, and edge/business rule validation as code.
• Conduct quick-win user training for buyers using the new lobby tiles and dashboards.

Outcome

• Procurement MVP data product is live, API-exposed, and used daily by at least one buyer team.
• Lightweight governance contract with basic SLA, field definition, and steward assigned.

Next 60 Days – Expand and Harden

KPI Engineering & Quality Controls

• Leverage IFS BI (e.g., Dimensional Fact tables or IFS Aurena BI API):
  • Add trend analytics for late deliveries per supplier and OTIF history.
  • Implement temporal tables for historical performance, enabling change tracking.
• Implement automated data tests in CI/CD pipeline:
  • Test for null/missing ASN, timestamp consistency, and data type/enum validation.
  • Use IFS Data Quality services or custom scripts for anomaly retention and correction.

Permissions & Access Review

• Use IFS permission sets to map data access for domain roles (buyer, approver, compliance); automate provisioning via Azure AD or IFS Identity Manager integration if possible.
• Conduct first quarterly formal access review to ensure only authorized users interact with the product.
• Document and automate approvals and revocations for data product endpoints, logging all access changes.

Event-Driven Automation & Workflows

• Automate exception handling with IFS Workflow or external BPM tool:
  • Route late delivery and expedite request events to buyer/manager via notification or task queue.
  • Notify suppliers automatically of late/changed delivery date using IFS Connect automation.
• Maintain audit-ready event logs and workflow histories.

Versioning and Change Management

• Use semver (Semantic Versioning) for procurement data contract: start with v1.0, log changes in a changelog repository.
• All breaking changes in fields, API, or data structure go through formal change approval and are communicated to both consumers and platform teams through dashboards or release notes.

Outcome

• Stable, governed procurement data product now supports advanced BI for buyers and compliance.
• Automated quality, formal access reviews, and robust event-driven workflows in operation.

By 90 Days – Scale Across Procurement

Expanding Scope

• Extend domain from Procure-to-Receive to full Procure-to-Pay:
  • Integrate invoice data, 3-way match exceptions, and payment-status tracking.
  • Link additional OData APIs for Invoices, Payments, and integrate with Supplier Master Data domain.

Cross-Domain Data Linking

• Establish secure link (e.g., via a shared supplier_id, mapped in Book of Rules) with the Finance domain to enable end-to-end Supplier Spend Analysis.
• Use Data Mesh principles: federate queries or build composable data products for analytics across Procurement and Finance.
• Ensure data-sharing follows InfoSec guidelines (Pseudonymization, Field-level masking where required for financial data).

Platform Enablement & Reuse

• Package procurement data product contract, dashboards, and tests into a deployment kit (e.g., reusable templates, ARM/Bicep, YAML manifest).
• Document product onboarding process for rolling out to other geographies, business units, or functional domains (Inventory, Sourcing).

Governance & Adoption Metrics

• Establish monthly automated data quality review (data drift, SLA breach logs captured in central metrics dashboard).
• Continue quarterly access reviews and start semiannual external/internal audit prep using IFS audit logs.
• Define and monitor adoption KPIs:
  • % users accessing new lobby tiles per buyer organization.
  • OTIF improvement vs. pre-mesh baseline (tracked via BI trend line).
  • Cost reduction on expedite processes, calculated from ERP transactional data streams.

Outcome

• Procurement domain is fully governed, providing reusable Data Mesh patterns for future domains.
• Practices and technical templates are ready to scale to Inventory, Finance, or Sourcing, accelerating mesh adoption.

Technical Notes

• Use IFS Scope Tool, Scope Tracker, and Book of Rules for process, scenario, and requirements baseline documentation at each stage.
• IFS Aurena and OData endpoints are leveraged for projection and mesh product APIs.
• All CI/CD for data products should utilize version control (e.g., Git), configuration as code for pipeline and deployment manifests, and integrated test automation.
• Governance documentation (contracts, logs, audit trails) is kept in a centralized, auditable repository, with integration to IFS Cloud where required.
• Strong focus on Evergreen, continuous updates, and technical debt minimization (IFS Cloud recommendations).
• Stakeholder engagement and change management is built in via regular solution demos, steering group updates, and hands-on workshops.

This detailed plan combines IFS project management, technical, and data-centric best practices for a robust, scalable Data Mesh implementation in procurement.