• Big Data for the Pharmaceutical Industry

    If pharmaceutical companies cannot reduce data management overhead they risk drowning in excessive data. The paper discusses how Life Science companies that wish to be competitive in a world that is rapidly expanding ‘beyond the pill’ can implement capabilities to quickly find relevant data to inform new initiatives or power new solutions and business models.

  • Amgen

    Helping More Patients. Faster. How Amgen Personalizes Care with Master Data Driven Insights.

  • IQVIA

    IQVIA gained enhanced data accuracy, timeliness, and completeness and faster time to market for its pharmaceuticals

  • Data Driven Digital Transformation Pharmaceutical Supply Chain

    Manufacturing and supply chain processes in pharmaceutical companies create a wealth of data. In a new normal of data fueled transformation, the companies that succeed will be the ones that best manage, use, and share data. Pharmaceutical companies that enable their supply chain employees and business processes through a foundation of trusted data can realize significant cost savings. More importantly, trusted supply chain data will contribute directly to a more secure pharmaceutical supply chain – building trust in both individual brands, and the pharmaceutical industry.

  • Data Driven Transformation in Pharmaceutical Research and Development

    Pharmaceutical companies continue to face disruption in their market and traditional business processes. It is now widely recognized that success in the pharmaceutical industry is becoming dependent on the ability to transform data into information. Global pharmaceutical executives increasingly acknowledge that future competitiveness depends on the ability to manage data most effectively and efficiently. Informatica can reduce the cost of data management overhead, freeing up resources to increase R&D efficiency. Informatica’s focus on data management technology can aid R&D departments gain clear advantages.