Veeva Vault is a SaaS-based content management platform with a suite of applications built for life sciences.
Each application includes rich functionality to meet the needs of a specific business process. The native interoperability between Vault applications provides additional efficiency and compliance by streamlining the flow of documents across regions and departments. Content stays accessible, current, and in context across the entire development and commercial lifecycle.
BA Insight’s Veeva Vault Connector securely indexes both the full text and metadata of Veeva Vault objects into SharePoint’s search engine, as well as Azure Search and Elasticsearch. This enables users to retrieve a single result set for content within Veeva Vault, SharePoint, and more than 70 repositories searchable through our connectivity products.
The benefits of the solution include:
- Always current: Veeva is constantly innovating and delivering new IQ/OQ validated releases so you never get stuck on old software.
- High performance: Performance is continuously monitored and optimized to ensure everyone’s applications stay high performance.
- Zero footprint: No software to install, hardware to maintain, or costly upgrades.
- Serves companies large and small: Subscriptions scale up or down to fit any size business.
Our Veeva Vault Connector is standard, off the shelf software that provides the following capabilities:
Allows searching for any kind of documents stored in Veeva Vault.
Operates with minimal impact on Veeva Vault. Once content is crawled, all search activity takes place in SharePoint, or any other portal.
Provides high performance indexing so that large amounts of content can be made available to users. Many Veeva Vault implementations contain large amounts of data, making high throughput critical to the success of the implementation.
Leverages Veeva Vault security to determine which documents users can access.
Veeva Vault retains the master information and the search index has only a representation (pointers). If applicable to the database being crawled, users click on a search result and are taken to their original item or document.