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We have developed the below questionnaire to understand the market situation and to eliminate companies needs for quality master data. We would kindly ask you to fill in the below questionnaire which will not take more than 10 minutes of your time. The survey results will be presented also during the ECR Baltic Forum 2010:
Available also in Latvian, here!
Foreword
According to the ECR Baltic Board initiative and following the emerging use of EDI (Electronic Data Interchange) and Category Management, we have found that there is a distinct need for reliable, categorized and up-to-date product and parties’ master data. Quality master data itself and data synchronization is the cornerstone for every application including efficient replenishment, category management, planning and forecasting.
Globally master data issues are solved by using National Data Pools which are interoperable through GS1 Global Data Synchronization Network (GDSN). Some of you already got use to it either with your parent Companies maintaining master data with 1SYNC, GXS or recently in SA2/Worldsync Estonian profile. There are Countries like Sweden and Croatia which has developed their own in house data pool solutions.
What is a Data Pool? “A “Data Pool” is a repository of data where trading partners can obtain, maintain and exchange information on items and parties in a standard format through electronic means”.
A “GDSN Data Pool” is a data pool certified by GDSN Inc. and hence able to interoperate within the Global Data Synchronisation Network.
More information: http://www.gs1.org/gdsn , the list of GDSN certified Data Pools you can download, here: http://www.gs1.org/docs/gdsn/gdsn_certified_data_pools.pdf
Data pools can provide also add-on services like catalogue and bilateral prices, media files (images, video), support data import/export in different formats (i.e. EANCOM/XML, Web forms, SAP or simple Excel files).
Why data quality?
To better describe the master data problem, the causal UK Retailer (GXS - UDEX study) audit showed that before switching to data quality program:
57% of Case Weights and Measures were incorrect
35% of Ti Hi (tier x height) Pallet Configurations were incorrect
26% of Cube Sizes were incorrect
7% of Outer Barcodes were incorrect
2% of Inner Barcodes were incorrect
After implementing the results were:
Out of Stocks reduced from 5% to 4%
Master file accuracy for case weights and measures increased from 43% to 70%
No-scans reduced by 75% – a saving of £1.5M each year
30% Improvement in Invoicing First Time Pass rates.
Order Fulfilment Improved by 2-3%
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