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Why is it Important to Have Great
Quality Data in your ERP System?
1
Topics of Discussion
Wednesday August 2, 2017 2
Data Content/Quality in the ERP from Distributor & Manufacturer Perspective
Critical Fields in the IDW; such as Catalog Description, Invoice Description, Pricing,
Packaging, Price UOM and Pack UOM
Groupings of Data that contain the 43 Critical Fields:
• Basic Data
• Pricing
• Packaging
• Digital Media
• Attributes
Impact of Poor Distributor
ERP Product Data
Wednesday August 2, 2017 3
Sales Team
Inventory
Procurement
Team
Local
Warehouse
Operations
Team
Accounts
Payable
Rebates Team
Accounts
Receivables
EDI Team
Regional
Distribution
Center
The
Customer
Returns
RGA Team
Master Product Data
Management #1
Wednesday August 2, 2017 4
Distributor
ERP
Master Inventory
Records
Sales Product Search
Sales Order Entry
Customer Output Docs
Vendor POs
EDI Transactions
Vendor
CRM
BI/BW Reporting
Website
Ecommerce
Marketing Materials
Mobile Apps
Customer ApplicationsERP Reporting
Master Product Data
Management #2
Wednesday August 2, 2017 5
Distributor
ERP
Master Inventory
Records
Sales Product Search
Sales Order Entry
Customer Output Docs
Vendor POs
EDI Transactions
Vendor
CRM
BI/BW Reporting
Website
Ecommerce
Marketing Materials
Mobile Apps
Customer ApplicationsERP Reporting
IDW
Master Product Data
Management #3
Wednesday August 2, 2017 6
Distributor
ERP
Master Inventory
Records
Sales Product Search
Sales Order Entry
Customer Output Docs
Vendor POs
EDI Transactions
Vendor
CRM
BI/BW Reporting
Website
Ecommerce
Marketing Materials
Mobile Apps
Customer ApplicationsERP Reporting
IDW
IDW Web DB
Master Product Data
Management #4
Wednesday August 2, 2017 7
Product Information
System (PIM)
Master Inventory
Records
Sales Product Search
Sales Order Entry
Customer Output Docs
Vendor POs
EDI Transactions
Vendor
CRM
BI/BW Reporting
Website
Ecommerce
Marketing Materials
Mobile Apps
Customer ApplicationsERP Reporting
IDW Distributor
ERP
Lack of Standards
Lack of Standards and checks can lead to several critical
issues
• Duplicate catalog numbers
• Duplicate UPC or EAN numbers
• Large amount of time needed to clean up these types of issues
Wednesday August 2, 2017 8
Data Challenges
Challenge to get accurate dimensions for our items
• Who owns the dimensions?
• Sometimes stored in engineering drawings (doesn’t help for package
dims)
• Sometimes stored in ERP or other systems, or just on a spreadsheet
Wednesday August 2, 2017 9
Acquiring Images
Getting images taken that accurately represent an item
• Sometimes representative or family image is too general
• Cost issue around taking pictures and editing them
Wednesday August 2, 2017 10
Attributing Data Thoroughly
Getting product owners to attribute data thoroughly
• Other product specific attributes are not always filled out with as much
detail
• Turnover can be an issue causing knowledge to be lost
• Work to gather data from other internal sources based on data
inquires (internal/external) and use that to push larger data cleanup
projects
Wednesday August 2, 2017 11

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ebiz 2017: Why It Is Important to Have Great Quality Data in your ERP Systems?

  • 1. Why is it Important to Have Great Quality Data in your ERP System? 1
  • 2. Topics of Discussion Wednesday August 2, 2017 2 Data Content/Quality in the ERP from Distributor & Manufacturer Perspective Critical Fields in the IDW; such as Catalog Description, Invoice Description, Pricing, Packaging, Price UOM and Pack UOM Groupings of Data that contain the 43 Critical Fields: • Basic Data • Pricing • Packaging • Digital Media • Attributes
  • 3. Impact of Poor Distributor ERP Product Data Wednesday August 2, 2017 3 Sales Team Inventory Procurement Team Local Warehouse Operations Team Accounts Payable Rebates Team Accounts Receivables EDI Team Regional Distribution Center The Customer Returns RGA Team
  • 4. Master Product Data Management #1 Wednesday August 2, 2017 4 Distributor ERP Master Inventory Records Sales Product Search Sales Order Entry Customer Output Docs Vendor POs EDI Transactions Vendor CRM BI/BW Reporting Website Ecommerce Marketing Materials Mobile Apps Customer ApplicationsERP Reporting
  • 5. Master Product Data Management #2 Wednesday August 2, 2017 5 Distributor ERP Master Inventory Records Sales Product Search Sales Order Entry Customer Output Docs Vendor POs EDI Transactions Vendor CRM BI/BW Reporting Website Ecommerce Marketing Materials Mobile Apps Customer ApplicationsERP Reporting IDW
  • 6. Master Product Data Management #3 Wednesday August 2, 2017 6 Distributor ERP Master Inventory Records Sales Product Search Sales Order Entry Customer Output Docs Vendor POs EDI Transactions Vendor CRM BI/BW Reporting Website Ecommerce Marketing Materials Mobile Apps Customer ApplicationsERP Reporting IDW IDW Web DB
  • 7. Master Product Data Management #4 Wednesday August 2, 2017 7 Product Information System (PIM) Master Inventory Records Sales Product Search Sales Order Entry Customer Output Docs Vendor POs EDI Transactions Vendor CRM BI/BW Reporting Website Ecommerce Marketing Materials Mobile Apps Customer ApplicationsERP Reporting IDW Distributor ERP
  • 8. Lack of Standards Lack of Standards and checks can lead to several critical issues • Duplicate catalog numbers • Duplicate UPC or EAN numbers • Large amount of time needed to clean up these types of issues Wednesday August 2, 2017 8
  • 9. Data Challenges Challenge to get accurate dimensions for our items • Who owns the dimensions? • Sometimes stored in engineering drawings (doesn’t help for package dims) • Sometimes stored in ERP or other systems, or just on a spreadsheet Wednesday August 2, 2017 9
  • 10. Acquiring Images Getting images taken that accurately represent an item • Sometimes representative or family image is too general • Cost issue around taking pictures and editing them Wednesday August 2, 2017 10
  • 11. Attributing Data Thoroughly Getting product owners to attribute data thoroughly • Other product specific attributes are not always filled out with as much detail • Turnover can be an issue causing knowledge to be lost • Work to gather data from other internal sources based on data inquires (internal/external) and use that to push larger data cleanup projects Wednesday August 2, 2017 11