GS1

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  • Case Studies // Apr 2009

    Data Quality Challenge Case Study METRO Group and Nestl

    This case study is based on the GS1 Data Quality Challenge that was taken up by two organizations, METRP Group and Nestle in order to recognize key areas inside their association that could be enhanced through the execution of data quality beliefs from the GS1 Data Quality Framework. The Data...

    Provided By GS1

  • White Papers // Dec 2008

    Nestl?'s Dos And Don'ts For Successful Data Synchronization

    Given the vastly expanded choice and market transparency, writes Lawrie, "Retailers are becoming increasingly dependent on merchandise data to add value to their unique selling proposition. Retailers need to hone their ability to move full truckloads and to exploit new technologies, such as location specific merchandise and price optimization. The...

    Provided By GS1

  • Case Studies // Apr 2009

    Data Quality Challenge Case Study METRO Group and Nestl

    This case study is based on the GS1 Data Quality Challenge that was taken up by two organizations, METRP Group and Nestle in order to recognize key areas inside their association that could be enhanced through the execution of data quality beliefs from the GS1 Data Quality Framework. The Data...

    Provided By GS1

  • White Papers // Dec 2008

    Nestl?'s Dos And Don'ts For Successful Data Synchronization

    Given the vastly expanded choice and market transparency, writes Lawrie, "Retailers are becoming increasingly dependent on merchandise data to add value to their unique selling proposition. Retailers need to hone their ability to move full truckloads and to exploit new technologies, such as location specific merchandise and price optimization. The...

    Provided By GS1