Data products are the deployed scalable, reproducible outcomes of a data science workflow that enable delivery of data-driven value to customers. Capitalizing on investment in data science teams starts with the ability to deliver data science insights to customers, whether those customers are end-users or internal business users. The customer delivery pathway consists of a data pipeline from source to end product and includes the functionality for iterative improvement of the data science workflow. Unlike traditional pure software products, data products must adapt to changing content in source data, and thus require additional tooling and process to adapt to changing operational conditions. Join us for a discussion on building data products in your organization to realize data science ROI.
Data products are the deployed scalable, reproducible outcomes of a data science workflow that enable delivery of data-driven value to customers. Capitalizing on investment in data science teams starts with the ability to deliver data science insights to customers, whether those customers are end-users or internal business users. The customer delivery pathway consists of a data pipeline from source to end product and includes the functionality for iterative improvement of the data science workflow. Unlike traditional pure software products, data products must adapt to changing content in source data, and thus require additional tooling and process to adapt to changing operational conditions. Join us for a discussion on building data products in your organization to realize data science ROI.
