How Effective Product Data Syndication Skyrockets Your Growth

In the digital economy, product data is more than just data. It is the vanguard of brand engagement and the surrogate of physical examination. And in order to stock the "digital shelf", businesses not only need to store, enrich, and publish data but also share product data with trading partners effectively. The challenge here is distributing data feeds to multiple sales portals and marketplaces that require different content standards and compliances. The discipline of Product Data Syndication (PDS) is therefore imperative to ensure that the right data is delivered to the right customer touchpoint, at the right time.

"As a larger share of total commerce is conducted on digital channels, product information syndication applications are becoming increasingly essential for sellers to compete.”
- IDC Worldwide Product Information Management and Syndication Applications Forecast

Benefits of Hybrid Cloud for Data Warehouse

In today’s market reliable data is worth its weight in gold, and having a single source of truth for business-related queries is a must-have for organizations of all sizes. For decades companies have turned to data warehouses to consolidate operational and transactional information, but many existing data warehouses are no longer able to keep up with the data demands of the current business climate. They are hard to scale, inflexible, and simply incapable of handling the large volumes of data and increasingly complex queries.

These days organizations need a faster, more efficient, and modern data warehouse that is robust enough to handle large amounts of data and multiple users while simultaneously delivering real-time query results. And that is where hybrid cloud comes in. As increasing volumes of data are being generated and stored in the cloud, enterprises are rethinking their strategies for data warehousing and analytics. Hybrid cloud data warehouses allow you to utilize existing resources and architectures while streamlining your data and cloud goals.