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Data Quality

Your product and trade data always on track

quality example smallThe Data Quality Label is a useful aid to measuring and optimising product and trade information in the 2BA Data Pool, allowing buyers to be able to find this information in the most efficient way possible and incorporate it into their own processes.

Towards an increasingly higher quality of data, together!

The 2BA goal is: ‘Collecting, validating, managing and distributing high-quality product and related trade data for a variety of market segments such as installation business, construction, system integrators, machine manufacturers and the maritime sector. ‘The key issue in this goal is the term ‘data quality’.


Given the diversity of possible applications, the term ‘data quality’ is somewhat broad. After all, not everyone uses product and trade data in the same way. For example, installers, who use the data as the basis for the logistics process (order, order processing and invoicing) have other demands of data quality than companies that use the data for design and technical estimating, for example).In addition, suppliers who use the data to put together catalogues (also electronic) and/or web stores have other demands again of data quality.

So do consult the overview Data needs of data pooling to get a good idea of the criteria your product and/or trade data should comply with for your buyers.

Validations by 2BA

In order to safeguard the quality of the data as well as possible, there are a number of checks possible within 2BA, of both product and trade data, such as:

  • validation on the basis of use of valid file formats
  • validation on content fields such as GTIN, for example
  • validation on the basis of history (both automatic and manual)
  • validation on the basis of 3D-defined objects (ETIM-MC/UOB)
Support

The starting point for 2BA when it comes to data distribution is that the responsibility for your data is entirely yours, as supplier. After all, it is your data! Given the sector’s vested interests, you naturally don’t have to do it on your own. In addition to appointing a fixed contact, 2BA has also drawn up a step-by-step plan. This step-by-step plan supports which data the sector is expecting at that moment, per category (of data).

The 2BA Data Quality Label

The Data Quality Label is a useful aid to measuring and optimising product and trade information in the 2BA Data Pool, allowing buyers to be able to find this information in the most efficient way possible and incorporate it into their own processes.


2BA makes a variety of tools available with which to achieve a higher standard of data quality. Based on the results of these tools, you can improve your product or trade data where necessary. So that both the buyers of your data and your own organisation benefit from this..

Processing report

Given the complexity of the data, there are several checks in place which are carried out automatically during each delivery of data to 2BA. The results of this are combined in a processing report after every delivery. The report offers the possibility of detecting and ultimately restricting to a minimum any errors and/or deficiencies in your data. Once you have gone through the report, it’s up to you to decide whether to approve the data or not.

Feedback Ticket System

Your data is available to all participants in 2BA through the Unifeed search engine and will indirectly be partly assessed by your buyers. The feedback ticket system gives the user a chance to submit a report about a specific product or item. This might be about incorrect GTINs or product references, or questions about trade data such as price information, order details or logistics information.

Data Statistics

The 2BA statistics offer a general insight into which of your data is available through 2BA. For example, how many item records are provided with such details as price information, discount groups and logistics information but also how this is as compared to the complete data.

Query Reports

The various query reports give you, the data supplier, direct insight into the general status of your data. For example, direct insight into which appendices are linked to which products. Or which suppliers refers to products not, or not yet, present in the data pool.

Deep Scan Report

The deep scan consists of a number of checks aimed at detecting specific errors in trade data. These could for example be errors in the form of price deviations or deviating units of use. These deviations are measured across (if present) multiple trade records.