Implement Multidomain Master Data Management Solution

Identify and install prerequisites for on premise deployment— Oracle database, SQL developer, Java, and Semarchy pre-configured package— then set the Java home environment variable.

Configure Semarchy Xdm by creating the required schemas in Oracle (repo, repository read-only user, and data location), apply the env file, and start the server.

Explore a B2C data model for individuals, detailing fuzzy and exact entities, map person attributes, communication preferences, and the person-product relationship from Semarchy tutorials.

Learn how Semarchy data files, including customer, nicknames, customer communication channel preferences, products, and purchases, feed a multidomain master data model with enrichments like normalization, cleansing, geocoding, and domain validation.

Import and explore the customer data model in Semarchy, examining entities, relationships, complex types, fuzzy matches, survivorship rules, and the standard components like collections, forms, and publishers.

Validate the customer B2C data model in a Semarchy instance, switch the target database to Oracle, create a data steward role, and import the image library and dashboard.

Explore the multidomain master data model for products, detailing brands, families, subfamilies, sizes, products, items, and item images, with keys, logo URL and image URL fields, and mandatory attributes.

Import and inspect the product retail data model in the cmac instance, exploring entities such as brand, family, item, and product, with attributes, validations, and workflows including add product.

Learn to build a multi-domain data model by combining product retail and customer B2C models, using manual replication or XML merging, including renaming and importing steps.

Merge product metadata into the multi-domain data model by copying love types, applications, entities, UDFs, workflows, diagrams, and grants, then import into Smcc to unify customer and product data.

Enhance the multi-domain data model by retaining the product from the product retail demo data model and deleting the duplicate in the customer B2C model, resolving dependencies.

Consolidate the customer and product data models into a single multi-domain data model by adding a foreign key in the cross-reference and assign domain-specific data stewards.

Validate the multi-domain demo data model, fix the named query by using the product entity name after removing the duplicate product entity, and ensure no errors remain before deployment.

Deploy a multi-domain demo data model by creating an Oracle data location user, configuring a data source, and provisioning metadata tables, confirming deployment success.

Import data into a multi-domain MDM model using Semarchy datasets, mapping product and customer relations, and loading brand, family, products, items, images, nicknames, and customers with validation and background processing.

Fix import errors by correcting mandatory fields and updating contact info with emails, then configure action settings to resolve foreign key issues and complete product data validations.

Fix the customer and product dashboards by configuring the dashboard builder, setting visibility, selecting multi-domain Oracle data sources, adjusting queries, granting read permissions, and validating data quality and charts.

Fix and validate the product retail dashboard within a multi-domain master data management solution, covering data sources, queries, charts, dashboards, data quality KPIs, and integration metrics.

Create a prospect from web UI using source systems such as CRM, ERP, and marketing, then use match and merge to form a golden record to publish to downstream systems.

Create a new product within a multi-domain data model using a step-by-step wizard. Review the submission as a data steward and save to MDM, discard, or request correction.

Create a customer who bought products by importing customer, communication preferences, and customer product mapping files into a multidomain master data management model, then review enriched contact and product data.