--- title: Use cases url: https://documentation.cluedin.net/solutions/use-cases content_type: landing section: Solutions & integrations --- # Use cases # Getting the Best Out of the Use Cases The Use Case walkthroughs in CluedIn are designed to show you how the platform solves real-world data challenges step by step. To get the most value out of these guides, it’s important to approach them not just as tutorials, but as learning opportunities that connect directly to your own data landscape. --- ## How to Use These Walkthroughs Effectively ### 1. Follow Along with Real Data Where possible, connect a **test data source** or a subset of your real data. This makes the examples more relevant and helps you see how CluedIn responds to the specific quirks of your data. ### 2. Treat Each Use Case as a Building Block Each walkthrough highlights one capability — data quality, entity linking, compliance, analytics, etc. As you progress, you’ll see how they combine into a larger data strategy. ### 3. Explore Beyond the Steps The walkthroughs provide a structured path, but CluedIn is flexible. After completing a use case, try adjusting rules, tags, or exports to experiment with different outcomes. ### 4. Use Tags, Notes, and Comments As you work through examples, make use of CluedIn’s tagging and annotation features. This builds your own **catalog of learnings** that you can reuse later. ### 5. Compare to Your Business Goals At the end of each walkthrough, ask: - How does this align with my current data challenges? - What changes would I make to apply this in production? - Which teams would benefit from this outcome? --- ## Best Practices for Success - **Start Small, Scale Gradually**: Run walkthroughs on a small dataset before expanding to production. - **Collaborate Across Teams**: Involve colleagues from compliance, analytics, and operations so everyone sees the value. - **Document as You Go**: Capture your findings and decisions. They’ll become the blueprint for your production setup. - **Measure Improvements**: Use CluedIn dashboards to track data quality, entity resolution rates, and processing times as you apply the use cases. - **Iterate Often**: The best results come from refining rules, retention policies, and enrichment as your understanding deepens. --- ## Next Steps - Complete each walkthrough in sequence to build a strong foundation. - Apply the lessons learned to your **own business data**. - Use the CluedIn Documentation Portal to dive deeper into advanced topics like Rules, Matching, and Governance. - Share feedback with your CluedIn team or community — your insights will help others get more value from these use cases. --- ## Summary The use cases are not just step-by-step guides — they are **launch pads for success with CluedIn**. By following along with real data, connecting the walkthroughs to your business goals, and iterating as you learn, you’ll build both confidence in the platform and a cleaner, more reliable data foundation for your organization. --- ## In this section - [Customer 360 Case](https://documentation.cluedin.net/solutions/use-cases/customer360.md) (concept): Customer 360 creates a single, trusted view of each customer across CRM, e-commerce, marketing, support, billing, and product systems. - [Supplier 360](https://documentation.cluedin.net/solutions/use-cases/supplier360.md) (concept): Supplier 360 delivers a single, trusted, and actionable view of each supplier across ERP, procurement, finance/AP, risk, and contract systems. - [Product 360](https://documentation.cluedin.net/solutions/use-cases/product360.md) (concept): Product 360 delivers a single, trusted view of each product across ERP, PIM, e‑commerce, supplier feeds, and catalog systems. - [Centralised Master Data Management](https://documentation.cluedin.net/solutions/use-cases/centralised-master-data-management.md) (concept): Implement Data Part Rules to standardize before any matching: - [Implement Data Quality Management](https://documentation.cluedin.net/solutions/use-cases/data-quality-use-case.md) (concept): A Data Quality (DQ) program in CluedIn gives you measurable, automated, and auditable control over your data. - [Reference Data Management](https://documentation.cluedin.net/solutions/use-cases/reference-data-management.md) (concept): Reference data (codes, lists, and hierarchies) underpins every analytics and operational workflow: countries, currencies, units of measure, cost centers, product categories, payment terms, GL accounts, etc. - [Householding Use Case](https://documentation.cluedin.net/solutions/use-cases/householding.md) (concept): Create rules to normalize addresses before matching: - [Customer Acceleration Case](https://documentation.cluedin.net/solutions/use-cases/customer-acceleration-case.md) (concept): Accelerate onboarding by using CluedIn to ingest, validate, enrich, deduplicate, and publish complete, compliant customer records to CRM and workflow systems. - [Data Analytics Use Case](https://documentation.cluedin.net/solutions/use-cases/data-analytics-use-case.md) (concept): This guide shows how to use CluedIn as the master data backbone for analytics: unify entities, standardize attributes, resolve identities, manage reference data, and publish analytics-ready conformed dimensions and fa... - [ERP Migration](https://documentation.cluedin.net/solutions/use-cases/erp-migration.md) (concept): ERP migrations (e.g., SAP, Oracle, Dynamics, NetSuite) demand clean, reconciled, and governed master and transactional data. - [Regulatory Compliance](https://documentation.cluedin.net/solutions/use-cases/regulatory-compliance.md) (concept): This guide shows how to implement a Regulatory Compliance program in CluedIn covering data discovery, classification, subject rights (DSAR/SAR), minimization, retention, lineage, and auditing. - [MDS to CluedIn: why and how](https://documentation.cluedin.net/solutions/use-cases/mds-to-cluedin-1.md) (concept): This article explains: - [MDS to CluedIn: adoption and mindset](https://documentation.cluedin.net/solutions/use-cases/mds-to-cluedin-2.md) (concept): This article is about what makes migrations succeed: adoption. - [MDS to CluedIn: FAQ and worked example](https://documentation.cluedin.net/solutions/use-cases/mds-to-cluedin-3.md) (concept): This FAQ maps common "how we do it in MDS" use cases to how you solve them in a CluedIn-based operating model. 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