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Veeva Introduces Next-Generation Commercial Data Warehouse for Life Sciences

By   /  May 18, 2018  /  No Comments

According to a recent press release, “Veeva Systems today introduced a new commercial data warehouse for life sciences. Veeva Nitro eliminates the burden of custom-built data warehouses with an industry-specific data model and standard integrations that unify companies’ most important data sources. Now the life sciences industry will have a ready-to-use commercial data warehouse in the cloud that is tailored to its needs with the ease of implementation, configuration, and ongoing enhancements that come with a packaged software solution. With Veeva Nitro, the industry will finally have the right commercial data foundation for artificial intelligence (AI) and analytics to deliver business insights faster.”

Dan Utzinger, vice president and CIO at Intra-Cellular Therapies and former VP of IT at Eisai, “Custom data warehouses are inherently inflexible, so it can take weeks to get answers to important questions every time a new data source is added or systems change… An industry-specific commercial data warehouse in the cloud provides a significant opportunity to accelerate speed to value by delivering actionable insights for better decision-making, as well as lay the foundation to fully leverage the power of advanced analytics and AI.”

The release goes on, “Veeva Nitro is a global solution that meets organizations’ unique regional requirements, including specialized data sources and business processes. Its extensible data model is based on deep industry best practices, while seamless integration with Veeva CRM Suite and Veeva Vault PromoMats automatically syncs all customer activity data and information about a company’s content and its usage into the data warehouse. Also, industry data connectors are capable of bringing together data from the most common sources such as prescription, sales, formulary, and claims data, including regional data from IQVIA and Encise.”

Read more at Business Wire.

Photo credit: Veeva

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