AMD Consulting

A leading global automotive products manufacturing company sustained a good quality procurement data by outsourcing the Master Data Management (MDM) activity.

Overview

The company was looking for end-to-end item code creation support to maintain the quality of their master database as per their defined data governance process.

Challenges
  • High inflow of code creation requests with inadequate & inconsistent item description.
  • Lack of robust process to identify hidden duplications.
  • Limited internal bandwidth and expertise on item classification & UNSPSC assignment.
  • Lack of dedicated MDM support for end users.
Solutions

Our deep expertise in MDM and flexible working model helped efficiently fulfill the item code creation requests while maintaining high data quality.

Various work streams included –

  • Request Validation & Communication
  • Validation of the item code creation requests as per the set data governance protocols i.e., duplication check, adequate description etc. and communication to end users.

  • Specification Enrichment & Taxonomy Maintenance
  • Item specification enrichment as per standard data taxonomy structure in consultation with the end users.

  • Category Assignment
  • Accurate category assignment as per defined category structure.

  • UNSPSC Mapping
  • Line-item level UNSPSC mapping & appropriate Noun-Modifier assignment.

  • Code Creation
  • Item code creation using MDM tool as per the defined process.

Results

Outsourcing the MDM maintenance activity helped sustain good data quality while maintaining fulfillment SLAs even with a huge inflow of requests, which further improved overall internal customers satisfaction.

Key outcome of this exercise included –

  • Clean and organized master database.
  • Near 40% active rejections thereby avoiding potential duplications as well as items with inadequate description.
  • Reduced number of active codes – from over 100K to under 25K resulting in better control.
Focused approach towards MDM activities helps maintain good quality data while improving procurement efficiency as well as internal stakeholders’ satisfaction

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