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Master Data Management

Master Data Management

Master data management with comprehensive supplier and item master data management capabilities, including data collection, normalization, error detection and correction, consolidation, data storage and distribution. It gives you complete control of all your supplier and item data and improves its quality by enabling rigorous and proactive supplier master.

MDM seamlessly integrates with your ERP, accounts payable or any other back-office system to bring together all supplier and item master on a single, unified platform. It can handle the complex requirements of a multi-ERP landscape, providing on-demand access to update and validated data at all times.

Master data management have supplier master clean up, including normalization of supplier name, deleting duplication, aligning master to product taxonomy and parent-child relationships, Supplier master enrichment, including D&B, W9, minority and other third-party information, Supplier enablement, driving controlled spend under management by aligning suppliers through supplier registration, catalogue enablement and supplier portal management.

Supplier registration, including supplier segmentation, qualification and rationalization of the supplier base, Supplier performance data management and analysis, Supplier enablement services, including on boarding and enabling electronic invoicing. Item master data management by supporting Taxonomy and specification development, Item cleansing, duplication removal and classification, Attribute extraction and standardization, Short and long text generation and Periodic incremental cleansing.

Master data management proactively and continually profiling, cleansing, validating, augmenting, synching and driving data stewardship to fuel your strategy and decision-making with data that is up-to-date, accurate, and reliable. Master data for all your procurement functions planning, sourcing, contracting, managing and purchasing.

  • Item cleansing, duplication removal and classification
  • Attribute extraction and standardization
  • Periodic incremental cleansing

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