Streamline your data management process with the Veeva Medical CRM + Microsoft SQL Server integration

Veeva Medical CRM is designed specifically for medical teams, empowering them to foster meaningful and personalized scientific dialogues informed by a complete view of each stakeholder. With advanced capabilities for planning and coordination of all resources across all communication channels, Veeva Medical CRM is the end-to-end solution you need to engage your stakeholders anytime, on any device. Used by commercial and medical teams, Veeva CRM aggregates unique data across the entire organization’s history with a medical stakeholder, providing greater collaboration and a consistent experience. While ensuring that each group maintains complete control over its information, you are always assured of compliance.

Built into Veeva CRM, Scientific Resource Libraries help medical science liaisons easily create more meaningful interactions with engaging, fully-optimized content. And with real-time insights into message utilization, sequencing and customer feedback, you’ll learn what resonates.

Veeva CRM Approved Email allows medical science liaisons to easily send emails directly from within Veeva CRM so that you can extend your reach and your relationships. With real-time insight into open and click through rates, you can measure your impact and refine your engagement approach quickly.

Microsoft SQL Server is a relational database management system, or RDBMS, that supports the impact of transaction operations, business intelligence and analytics in corporate IT environments. It is one of the three market-leading database technologies, along with Oracle Database and IBM DB2. Like another RDBMS software, Microsoft SQL Server is based on SQL, a database standardized programming database and querying the data they contain. SQL Server is linked to a Transact-SQL (T-SQL), a Microsoft SQL implementation that adds a series of programming extensions that are proprietary to the standard language.

Security & Compliance: Protect data at rest and in motion with a database that has the least vulnerabilities of any major platform for six years running in the NIST vulnerabilities database. Security innovations in SQL Server 2017 help secure data for mission-critical workloads with a layers of protection security approach, adding Always Encrypted technology along with row-level security, dynamic data masking, transparent data encryption (TDE), and robust auditing.

The business intelligence helps you scale your business intelligence models, enrich your data, and ensure quality and accuracy with a complete BI solution. SQL Server Analysis Services help you build comprehensive, enterprise-scale analytic solutions benefiting from the lightning-fast performance of in-memory built into the tabular model. You can build intelligent applications with SQL Server Machine Learning Services using R and Python. Move beyond reactive and into predictive and prescriptive analytics by performing advanced analytics directly within the database. By using multi-threading and massively parallel processing, you’ll gain insights faster than using open source R and Python alone.