Tag Archives: digitalization

No Mercy For Bad Data

For many years, product master data has been exchanged between suppliers and recipients to support automation of backend processes. There was a significant focus on B2B aspects of data, information, and structured data. Data was exchanged between suppliers and recipients to support automation of backend processes.

What’s the Big Deal About Data Quality?

Today digitalization drives a much stronger form and rigid level of automation for retailers’ backend systems. Automated sales and procurement forecasting systems are now a commodity for all major retailer and e-tailer backends. Plus process costs must be kept at the lowest levels possible to beat competition.

Clean and accurate data is the prerequisite for all aspects of digitalization in retail backend systems. Because of the high degree of automation and real-time requirements in digitalized backend processes, the negative consequences of inaccurate data range from loss of customers to declining revenue.

Enter 1WorldSync: Trusted Content, Everytime, Everywhere

Consumers expect rich and trusted product content on all channels: desktop to mobile.  Accurate, rich and timely product content is critical in the path to purchase from discovery to delight.

Enabling more than 25,000 global brands in 60+ countries, 1WorldSync understands that no matter where you conduct business, trusted content and data quality are essential.

Here are some ways in which we can help:

  1. New User Interfaces: 1WorldSync invests in new user interfaces to drive the do-it-right-first-time (DRIFT) value proposition to avoid errors while typing data in the User Interaface.
  2. Data Quality Standards: Global data quality programs support the definition of data quality standards for communities or industry initiatives. The Global Data Synchronization Network (GDSN) is a great foundation for data quality standards because it standardizes formats, syntax and semantics. In Germany alone, over 300 new validation rules have been integrated to the 1WorldSync systems to assess product data.
  3. Machine Learning: 1WorldSync is developing state of the art components using machine learning methods to detect data outliers. These outliers ensure that data that passes all validation rules will be inspected with smart methods and minimal efforts. Initial results have been extremely promising and already prove that machine learning can take product data quality to new levels.

For more information on 1WorldSync Data Quality Solutions, please visit http://solutions.1worldsync.com/data-quality-report