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Pharmaceutical companies are in the business of research, development, production, and marketing of life-saving medications and procedures. Each of these activities generate and use vast amounts of data that is subject to intense rigor. Many times, different views of the same data are required for different parts of the drug discovery, development, and commercialization lifecycle.

Pharma companies have invested a lot of time, talent, and money in data warehousing or so-called "data lakes." Despite these significant investments, the ability to locate and efficiently work with the data continues to limit organizational effectiveness and slow down product development.

Learn how the future of Pharma is robust, secure data applications that can reach inside any data provider and efficiently merge together data from different sources and provide the context and insights employees need to shorten the drug development lifecycle.