Belgium & Luxembourg GS1 Data Checker User Guide Version 3 October 2015

Transcription

1 Belgium & Luxembourg GS1 Data Checker User Guide Version 3 October 2015

2 Introduction Getting qualitative data through standardized systems is the objective of GS1 Belgium and Luxembourg. The GS1 BELUX Data Checker has been developed to provide suppliers insight in the data quality of their product information uploaded in their GDSN data pool and/or trustbox. On the one hand, the GS1 Data Checker uses a series of logical tests to verify that your data: 1. follows the rules defined in the Belgilux B2B2C Datamodel 2. is complete (are all required attributes provided?). 3. is coherent. On the other hand, it compares the data you entered in GDSN and in trustbox, against audits of physical products performed by GS1 Belgium and Luxembourg. 2015, Issue 1 All contents copyright GS page 2 of 23

3 1 Log In Companies who are registerd with a GS1 organisation can have a free access to the GS1 Data Checker. If you would like a login, please send an to quality@gs1belu.org. Companies who have a log in, can acces the system at: Please log in with the username and password you received from GS1 Belgium and Luxembourg. If you need a new password, click on the Forgot Password link on the login page, and enter your username and address. You will receive a new password automatically. 2015, Issue 1 All contents copyright GS page 3 of 23

4 2 DATASETS 2.1 Overview The GS1 Data Checker analyses the Data Quality of different sources. The different percentages that are visible depend on where the data is coming from: In general there are 3 data sources: 1. GDSN data: this is the data that is published from your GDSN datapool. In order to get your GDSN data in the Data Checker, please publish your data to Target Market Belgium (056) or to the specific GLN (GS1 Belux Data Checker). 2. Trustbox data: this is the data you made available through trustbox. All product data that is validated in trustbox will automatically be sent to the GS1 Data Checker and all the Trustbox Data Recipients. 3. Audit Results: these are results of product audits performed by GS1 Belgium & Luxembourg. This is product information GS1 has gathered based on the physical product. These three sources generate different datasets: i. Belgilux GDSN Audit Results: This is the comparison of the dimensions and weights a supplier entered in his GDSN data pool, and the dimensions and weights GS1 gathered based on the physical product. These Audits will be conducted by a third party designated by GS1 Belgilux by the end of October ii. Belgilux GDSN Hierarchy Logical Checks: This is a score for the consistency of product information within a hierarchy. iii. Belgilux GDSN Logical Checks: This is the score for the B2B data for products published from a GDSN data pool. The test in the GS1 Data Checker are based on the GS1 Belgilux B2B2C data model. 2015, Issue 1 All contents copyright GS page 4 of 23

5 iv. Belgilux Trustbox Audit Results: This is the comparison of the B2C data entered in trustbox and the B2C data GS1 has found on the physical label of the product. v. Belgilux Trustbox Logical Checks: This is the score for the B2C data of validated products in trustbox. PLEASE NOTE 1) The GS1 Data Checker is updated each weekend. As a result new data quality scores will be visible each Monday. If you make changes to your product data during the week, you have to wait until the next Monday to see the effects on your Data Quality score. 2) The purpose of the tool is to offer you an insight into your data and specifically into the DATA QUALITY issues. The tool however doesn t allow you to make changes to your data. For this you should return to your data source (i.e. your GDSN data pool or trustbox). 2015, Issue 1 All contents copyright GS page 5 of 23

6 3 Getting to the test failures Start by selecting the datasource you want to review (1) on the left of the screen: In order to review the errors in detail, select the View report in the middle of the screen: 2015, Issue 1 All contents copyright GS page 6 of 23

7 In the new screen that appears, you have an overview of the different type of tests (completeness, dependency, validity and consistency rules) that are used to evaluate the data. (A) Please select the type of test you want to review (B) Below you will have an overview of the tests with the number of products that PASSED and FAILED the test. By clicking on the number of failures you will have a more detailed explanation of the failures (see D) (C) At the bottom of the page you have an overview of all products with all the tests that failed for that specific product. 2015, Issue 1 All contents copyright GS page 7 of 23

8 (D) By clicking on the number of failures in (C), you will have a more detailed explanation of the failures: With the test name information and the error message, you should be able to assess the reason of failure: Select a specific item to review, And propose a correction in the retry test area. Please note: This tool will help you investigate and try out different solutions before applying it to your actual data. All changes made in the DataChecker tool won t be applied to your actual data. In order to make the actual correction, return to your data source (trustbox or GDSN data pool), and correct the data. Please note that if a product fails ONE test, the Data Checker will consider the product as incorrect and you will have a score of 0% for this product. 2015, Issue 1 All contents copyright GS page 8 of 23

9 4 Types of tests In the previous section we described how to get to the different test failures. In this section, we will give examples of test failures and how to correct them: 4.1 Audit Tests Audit tests will compare values from different sources : trustbox data Audit Results Source: supplier Source: GS1 BELUX Following groups of attributes are compared: Allergen Detail Claims and Instructions Product Detail Nutritional Detail Unprepared Nutritional Detail Prepared 2015, Issue 1 All contents copyright GS page 9 of 23

10 An example for the allergen detail comparison: Providing the value MAY_CONTAIN in trustbox will ensure that the information on the physical packaging and in trustbox are the same. An example for the product detail comparison: Ingredient list trustbox AUDIT Ingrédients : Coeurs de CELERI, eau, sel, acidifiant : acide citrique (ou E330). Ingrédients: coeurs de CELERI, eau, sel, acidifiant: acide citrique. The data checker compares the Ingredient list taking into account CAPITAL letters. Punctuation and spacing do not impact the test results. In this case, the ingredients would be considered wrongly inputted and the product will get a 0% score. 2015, Issue 1 All contents copyright GS page 10 of 23

11 4.2 Logical Checks VALIDITY test liter is not correct unit of measure for a drained weight. (Please check the Trustbox Guidelines if you have questions about the correct units of measure) COMPLETENESS test The Food Business Operator is a mandatory field for trustbox; it MUST be completed DEPENDENCY test In GDSN, if the item is a consumer item (=true), the Net content is expected to be filled in. 2015, Issue 1 All contents copyright GS page 11 of 23

12 4.2.4 CONSISTENCY test The weight of the parent item should at least be equal to 24 x 570GR = GR If you encounter any test that would not be clear, please contact us on quality@gs1belu.org with a description of the failure (printscreen). 2015, Issue 1 All contents copyright GS page 12 of 23

13 5 Specific Functions of the datachecker 5.1 «Dashboard» tab «Dataset Trend» and «Record Failures» are 2 subtabs of the Dashboard Tab that give you information about the changes in your results (Trend) and about the Top10 products containing most errors (record failures): 2015, Issue 1 All contents copyright GS page 13 of 23

14 You can use following functions to export the results available in the Dashboard tab: First of all, select a dataset; Then you can use following functions: 1. View report: brings you to the test failures 2. Report Summary: exports the results in a csv file 3. Dataset Trend: exports the Trendline results in a csv file Please view Annex I: csv import in Excel for on how to make convenient useable Excel files from the exported csv results. 2015, Issue 1 All contents copyright GS page 14 of 23

15 5.2 Processes Tab: In the «Processes» tab, there is also an export functionality that allows you to get a csv file containing all test failures per product : The import procedure of the csv result file in Excel is the same as previously, and available in Annex I; this results in an Excel sheet containing a convenient and useable file for internal communication for example: 2015, Issue 1 All contents copyright GS page 15 of 23

16 6 Contact If there are any questions or remarks, please contact us by , Issue 1 All contents copyright GS page 16 of 23

17 7 Version information Date Version Who Changes MS - February MS July September SL Spelling checkec. Additional information added. Rephrasing some parts of the document. 2015, Issue 1 All contents copyright GS page 17 of 23

18 Annex I: csv import in Excel. Problem: when opening the csv reports from the Data Checker in Excel, they are not available in a convenient format; all the results are in the same column: In the latest versions of Excel, you can use the Text to columns option in order to separate the results in different columns: Select the first column, and click on Text to columns : 2015, Issue 1 All contents copyright GS page 18 of 23

19 Select following settings: 1. Step 1: Delimited format 2. Step 2: Comma and / separator 3. Step 3: Select the GTIN and the GLN column in the last step and set the type to Text 2015, Issue 1 All contents copyright GS page 19 of 23

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22 The end result is a file containing each value in a different column: 2015, Issue 1 All contents copyright GS page 22 of 23

23 2015, Issue 1 All contents copyright GS page 23 of 23 GS1 Belgium & Luxembourg Koningsstraat 76 b1 BE 1000 Brussel T +32 (0) F +32 (0) E quality@gs1belu.org GS1 is a registered trademark of GS1 AISBL