Complete data is essential, for everyone. It forms the basis for key business processes across the industry. It is the basis for e-commerce, (print) catalogues, logistics, the Building Information Model (BIM), mutual transactions, and for being able to meet legally established requirements. Every NULL value represents a stopping point in your buyers’ processes, which must then be resolved with a phone call, email exchange, or separate spreadsheets of data. In other words: without complete data, no successful business processes.
To ensure the quality of the data supplied, various checks on the product and trade data are possible within 2BA, such as validation based on:
To properly manage product data from manufacturers and deliver your trade data, the use of a Product Information Management (PIM) system is highly recommended. In addition, a PIM system can also provide you with an efficient service in combination with your ERP system or website (catalogue). 2BA’s PIM partners will be happy to advise you on the possibilities.
Data Label To create a reliable basis, requirements must first be established. It can then be assessed whether data is 100% complete and usable. Only when you are 100% sure what the manufacturer’s or product number 212345 stands for and all relevant trade information is linked to it by the wholesaler, all processes can be completed without loss or risk and with savings in time. For this reason, 2BA has developed the Data Label in collaboration with end users (installers). This label is designed to give you, the wholesaler, insight into the completeness of your trade data. and to tailor your data efforts to the needs of your customers.
We have developed a special page for data suppliers where you have direct insight, per data component, into the extent to which your data meets the needs of the target group.
A growing number of software providers now support a direct connection to the 2BA Unifeed. This Unifeed integration gives the user the option to search within the 2BA data pool from their own software and directly transfer one or more selected items to the calculation, quotation or drawing process, among other possibilities.
The search results obtained and their sorting depend on various factors. Based on various use cases, the search result sorting algorithm has recently been adjusted to make it even easier to find what you are looking for. In addition to the specified search criteria and any enabled filter(s), the data richness now determines the order of the result.
The sorting of the search results is determined, amongst other things, by:
In addition, the position of and number of times the specific search criteria are found will now play an important role.
Due to the complexity of the data, several checks have been established and are performed automatically during each data delivery to 2BA. The results are compiled into a processing report after each delivery. This report enables you to detect and ultimately minimise any errors and/or imperfections in your data. After you have read the report, you can choose to approve or reject the data supplied.
Your data is available to all 2BA participants through the Unifeed search engine and is indirectly co-rated by your customers. The feedback ticket system allows the user to create a report about a specific product or item. This includes incorrect GTINs, incorrect product references, but also questions about trade data such as price information, order data or logistics information.
The 2BA statistics provide a global insight into your data which is available through 2BA. This might include how many item records are provided with, for example, price information, discount groups and logistics information, but also how this relates to the complete data.
As a data provider, you will get a direct insight into the overall status of your data with the various query reports. For example, you can immediately see which attachments are linked to which products. But also which supplier refers to products that are not yet available within the Data Pool.
Deep Scan includes a number of checks to detect specific errors in trade data. These may include errors in the form of price deviations or different units of use. These deviations are measured across multiple trading records, if any.