Developing IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
Learn moreDeveloping IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
Learn moreDeveloping IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
Learn moreDeveloping IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
Learn moreBringing together unparalleled healthcare data, advanced analytics, innovative technologies, and healthcare expertise to create intelligent connections that speed the development and commercialization of innovative medicines to improve patient lives.
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Learn MoreYour world is unique – and quite different from pharma. In the U.S., decision-making has shifted from individual physicians to integrated networks--GPOs, IDNs and payers. These groups have heightened the focus on proving your solution’s value, demanding outcomes analyses and putting pressure on pricing.
Learn MoreFor government agencies and organizations at every level—from federal or national to regional and local—Big Data can have a huge impact on public health.
Learn MoreA curation of IQVIA's best thinking on topics and trends driving change, disruption, and progress in the United States healthcare market.
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LEARN MOREFollowing a major acquisition, a global biopharmaceutical company migrated to a new cloud-based master data management (MDM) tool. The company's IT team spearheaded the implementation, with little involvement from business stakeholders who consume the commercial data the tool manages.
Quality issues emerged shortly after the MDM tool began feeding data to downstream systems and reports. There was no clarity about causes or solutions for these discrepancies. As commercial leaders clamored for more reliable data, the company set out to re-examine the issues not just from an IT perspective, but also through a business lens.
Read the case study to learn how IQVIA helped create a smooth process that automatically runs data health checks at a regular weekly cadence allowing the company a way to easily identify quality issues within its MDM tool.
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