Data quality

The appropriate data quality is essential for the interoperating commerce. Appropriate data quality means that all master data are complete, relevant, accurate, up-to-date and industry-standard based. Trading partners can cut costs, improve their productivity and make faster the marketing of product by improving data quality between the endpoints of global supply chain.

Advances of appropriate data quality

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The appropriate data quality improves the inner business processes of manufacturers, retailers, wholesalers, mediators and other third parties. Information about the weight and dimensions of the product contribute to the higher level of occupation of shipping and make unnecessary the multiple measuring of the same product in the supply chain and lower the number of resources required for remaking planograms.

Product measurement guide

When a manufacturer introduces a new product into the market it is extremely important to transmit measured values equalling to the dimensions and weight of the product to its trading partners in order to flawlessly and effectively plan ordering, shipment, storing, inventory management and shelf filling.

The accurate and consequent measuring of the product has a key role in realizing successfully the exchange between trading partners. These rules were made for trading partners who exchange data regarding the dimensions of the product. The current common method to determine product dimensions is suitable to appropriately ensure data quality on an international level as well. Regarding the Anglo-Saxon measure units, the data providers must apply the measure unit system in accordance with the target market.

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The Product Measuring guide GS1 standard provides a standardized guide to define the weight and inclusive dimensions of consumer goods and to apply threshold values. The standard is one of the most significant documents of the GDSN master data management.

The guide is about defining the dimensions of consumer (end user) and non-consumer (logistics) products and aimed to facilitate the exchange of measured data between trading partners. Measures were designed in a way that the same values could be measured regardless the time and place of measuring. Rules were not intended to show how product should be placed in the shelves of stores for sale purposes. Local (stricter) rulings apply if there are any to determine measured values.