---
title: "Design Products with Clear Service Levels and Quality Measures"
date: 2026-01-10
author: "Dariusz Myśliwiec"
categories:
  - name: "Implementation of IFS Cloud Data Mesh"
    url: "https://ifs-erp.consulting/implementation-of-ifs-cloud-data-mesh.md"
---

# Design Products with Clear Service Levels and Quality Measures

In the era of Data Mesh, data is no longer a byproduct — it is a product. To succeed with IFS Cloud, we must design data products that are discoverable, reliable, and governed by strict quality measures.

 
---

 ### The Core Principles of Data Products

 #### Discoverability

 Products must be easily found. Utilize the **IFS Data Catalog** to ensure every data product is indexed and searchable by consumers across domains.

 #### Accessibility

 Break down silos by exposing data products through standard protocols. Use **REST APIs** and **OData** to provide secure, direct access.

 #### Full Metadata

 A product without a label is useless. Define full metadata and document specifications clearly in the **Enterprise Book of Rules**.

 ### Establishing Quality & Trust

 Quality is not accidental; it is engineered. To treat data as a true product within IFS Cloud, we must enforce rigorous validation and clear agreements.

 Governance Compliance SLA

 - **Define Validation Rules** Ensure data integrity at the source by implementing strict validation logic before data is published.
- **Set Quality Metrics** Utilize the *Data Tracker* to monitor completeness, accuracy, and timeliness continuously.
- **Align SLAs** Service Level Agreements must reflect the actual capabilities of the IFS Cloud platform to manage expectations realistically.

 #### Implementation Tip

 When mapping your **IFS functional modules** to business domains, assign specific ownership for each data product immediately. This ensures that the «Book of Rules» is not just a document, but a living governance tool.