Developing IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
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Developing IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
Learn more
Developing IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
Learn more
Developing IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
Learn more
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Reimagine clinical development by intelligently connecting data, technology, and analytics to optimize your trials. The result? Faster decision making and reduced risk so you can deliver life-changing therapies faster.
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Generate and disseminate evidence that answers crucial clinical, regulatory and commercial questions, enabling you to drive smarter decisions and meet your stakeholder needs with confidence.
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Building on a rich history of developing AI for healthcare, IQVIA AI connects the right data, technology, and expertise to address the unique needs of healthcare. It's what we call Healthcare-grade AI.
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The IQVIA Human Data Science Cloud is our unique capability designed to enable healthcare-grade analytics, tools, and data management solutions to deliver fit-for-purpose global data at scale.
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The IQVIA Innovation Hub connects start-ups with the extensive IQVIA network of assets, resources, clients, and partners. Together, we can help lead the future of healthcare with the extensive IQVIA network of assets, resources, clients, and partners.
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Empowering patients to personalize their healthcare and connecting them to caregivers has the potential to change the care delivery paradigm.
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SEARCH JOBSWhen making technology investment decisions, life sciences companies must fight against the tendency to focus on maintaining, upgrading and patching what they already have versus the benefits to be gained from moving to a platform that meets today's more demanding requirements.
Granted, organizations have invested significant resources in their commercial operations infrastructures to support customer relationship management, closedloop marketing, business intelligence and performance management, incentive compensation, sales force effectiveness, and so forth. Unfortunately, they are often working with a combination of applications that have been deployed in piecemeal fashion to support isolated work streams, and in some cases, with legacy systems that are becoming obsolete.
If one had the luxury of standing up a commercial technology platform from scratch (as emerging biotech companies do), one would demand native interoperability across applications, particularly those that deal in customer information or relate to the customer experience. When tools and resources are designed to work together across functions, processes are streamlined, data integrity is ensured, and internal stakeholders access “one version of the truth” from a central data repository. Such an orchestrated approach to the commercial ecosystem becomes a strategic differentiator in allowing a customer-centric approach. However, starting from scratch is unrealistic for most organizations.
How can companies that have invested in a commercial ecosystem with fragmented applications and information silos move toward an orchestrated commercial ecosystem that puts customers at the center? The challenge is akin to keeping a train that is filled to capacity moving down the track while simultaneously laying new track and swapping out all of the train compartments. The following paper offers practical guidance on how to do just that.
Orchestrated Customer Engagement, or OCE, goes beyond traditional CRMs by embedding real-time intelligence into user workflows so commercial teams can personalize, optimize, and improve their HCP engagements across all channels.
Combine data science, technology, and analytics driven by artificial intelligence to support new efficiencies and business insights -- without additional capital investment.
Orchestrated Customer Engagement, or OCE, goes beyond traditional CRMs by embedding real-time intelligence into user workflows so commercial teams can personalize, optimize, and improve their HCP engagements across all channels.
