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Riversand MDM online training

Master data is the golden record of data that powers an organization's ecosystem. This
relates to customers, suppliers, products, parts, employees, ingredients, locations, recipes,
etc. An MDM platform consolidates all this information into a single authoritative master
data source. Master data is essential to successfully managing and scaling your business.
With Riversand's future-ready master data management platform, businesses can
intelligently manage and manage their master data, optimize their supply chains, create
highly engaged customers, and empower them with an integrated multi-domain solution.
can drive smart digital commerce.

Key Features of Riversand MDM:
 Increased accuracy: Maintain complete and accurate data critical to improving process
efficiency and customer satisfaction.
 Improved efficiency: Develop data structures that improve workflow and governance,
and reduce cost and complexity.
 Scaling to new markets: Ensure data is meaningfully connected and flows from internal
data sources (suppliers) to shopping sites so brands can rapidly expand and conquer
new markets.
 Ensuring consistency: Easily manage product definitions and hierarchies, improve
governance, and develop flexible taxonomies to ensure consistency and understanding.

MDM solution like Riversand will have the following core features:
 Match & Merge and golden record creation: Ability to define complex data
reconciliation and survival rules when data comes into the MDM from multiple source
 Data quality reports and rules: Ability to view data quality via visual dashboards/reports
and define data quality rules.
 External 3rd party/industry integrations/connectors: Customer master, vendor master
address confirmation (SFDC) integration for contact and account

 Data Governance/Workflow Skills: Definition/rules of the process by which master data
is entered into the system, checked and approved.
 MDM architectural style support: Linking, Centralized, register, coexistence
 Flexible data model: Ability to define your own data structures (attributes, hierarchies,
value lists, etc.)


30-35 hrs

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