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Asug Gov Sig Data Quality Metrics Report Sapphire 2008

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SAPPHIRE presentation by Metrics Taxonomy Team

Tecnologia
1 de 26
Data Quality Metrics Taxonomy Thomas Fish – Air Products and Chemicals Richard King - barenakeData Nancy Northrup – Honeywell Carolyn Pickton – Leprino Foods Jan Slaby – Bayer Material Science
Learning Points ,[object Object],[object Object],[object Object]
Taxonomy – What does success look like? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Ultimate goal at metric level – metric data base ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Return on Investment ,[object Object],[object Object],[object Object],[object Object]
Time Line ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Oct-07 Nov-07 Dec-07 Jan-08 Feb-08 Mar-08 Apr-08 May-08 Jun-08 Jul-08 Aug-08 Sep-08 Oct-08 Nov-08 Future
Taxonomy - Guiding Principles ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Taxonomy basics – 12 level 0 Categories Four in scope Customer Materials Vendor Employee Reference Organizational Transportation Project Plant Maintenance EH&S Finance Operations
Taxonomy basics Four in scope Customer Materials Vendor Operations 3 12 Level 2 Level 1 Level 0 6 16 6 16 5 35
Taxonomy – Profile of interviewed companies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Leading Practices ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Key Learning – Different maturities ~50% of companies interviewed had no regularly measured metrics
Key Learning –Focus is on basic master data 2.1 Material Master (MM03) 2.2 Production/Planning-related data (excludes MRP 1-4, Work Scheduling Views in Matl Master) 2.3 Quality-related data (excludes QM view in Matl Master) 2.4 Sourcing/Procurement-related data (excludes Purchasing Views in Matl Master) 2.5 Sales-related Data (excludes Sales Org 1-2, Sales General Plant Views in Matl Master)
Key Learning – “info records” of interest, not yet measured ,[object Object],[object Object]
Taxonomy basics ,[object Object],[object Object]
Materials Metrics - level 0 and level 1 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Materials Drill Down - level 2 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Taxonomy - Materials drill down ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Material Metric: Examples ,[object Object],[object Object],[object Object]
Examples 1: MRP ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Material Material Master MRP Planned Delivery Time Planned Delivery Time for Externally Procured Materials
MRP Example: As implemented ,[object Object],[object Object],Material Material Master MRP Planned Delivery Time Planned Delivery Time for Externally Procured Materials
Examples 2: Supply Chain Integrity ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Material Material Master MRP Procurement Extended to Source Plant
Examples 3: Description Accuracy ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Material Material Master Basic Data Material Identification Container Code Desc vs Classification
Taxonomy – Data operations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
THE ASK: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[ ] SESSION CODE: INSERT SESSION CODE Please remember to complete and return your evaluation form following this session. For ongoing education on this area of focus, visit the Year-Round Community page at www.asug.com/yrc

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Asug Gov Sig Data Quality Metrics Report Sapphire 2008

  • 1. Data Quality Metrics Taxonomy Thomas Fish – Air Products and Chemicals Richard King - barenakeData Nancy Northrup – Honeywell Carolyn Pickton – Leprino Foods Jan Slaby – Bayer Material Science
  • 2.
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  • 8. Taxonomy basics – 12 level 0 Categories Four in scope Customer Materials Vendor Employee Reference Organizational Transportation Project Plant Maintenance EH&S Finance Operations
  • 9. Taxonomy basics Four in scope Customer Materials Vendor Operations 3 12 Level 2 Level 1 Level 0 6 16 6 16 5 35
  • 10.
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  • 12. Key Learning – Different maturities ~50% of companies interviewed had no regularly measured metrics
  • 13. Key Learning –Focus is on basic master data 2.1 Material Master (MM03) 2.2 Production/Planning-related data (excludes MRP 1-4, Work Scheduling Views in Matl Master) 2.3 Quality-related data (excludes QM view in Matl Master) 2.4 Sourcing/Procurement-related data (excludes Purchasing Views in Matl Master) 2.5 Sales-related Data (excludes Sales Org 1-2, Sales General Plant Views in Matl Master)
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