Data Onboarding
Data Onboarding describes the process of including external data sources – such as partners, service provides, and third-party sellers – into your own system environment. In the process, data is adjusted in a structured manner, its quality is checked for consistency, and it is integrated into existing data records. The objective is to create a standardized, valid, and practical data foundation that can be used reliably for all subsequent processes. Clear rules and automated workflows allow you to design this process efficiently and, at the same time, to secure data quality.
Product Data Onboarding: Integrating Data Intelligently
With its functions and connectors for product data onboarding, ATAMYA supports the structured and automated takeover of external data – e.g., from suppliers or partners – into the existing data model. Validation mechanisms, a user-defined mapping logic, and role-based release workflows make sure that the data quality and system consistency is already secured as early as at the level of imports. This way, you can harmonize data efficiently, reduce manual post-editing, and significantly shorten the time-to-market. How ATAMYA covers this process in terms of technology and organization, you can read in this blogpost about data onboarding.