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
"We strive to help improve outcomes and create a healthier, more sustainable world for people everywhere.
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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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Elevate commercial models with precision and speed using AI-driven analytics and technology that illuminate hidden insights in data.
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Orchestrate your success across the complete compliance lifecycle with best-in-class services and solutions for safety, regulatory, quality and medical information.
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When your destination is a healthier world, making intelligent connections between data, technology, and services is your roadmap.
TECHNOLOGIES OVERVIEWExplore our library of insights, thought leadership, and the latest topics & trends in healthcare.
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By making intelligent connections between your needs, our capabilities, and the healthcare ecosystem, we can help you be more agile, accelerate results, and improve patient outcomes.
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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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IQVIA Decentralized Trials deliver purpose-built clinical services and technologies that engage the right patients wherever they are. Our hybrid and fully virtual solutions have been used more than any others.
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Empowering patients to personalize their healthcare and connecting them to caregivers has the potential to change the care delivery paradigm.
LEARN MOREOur mission is to accelerate innovation for a healthier world. Together, we can solve customer challenges and improve patient lives.
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SEARCH JOBSDifferent life sciences companies vary greatly in what kinds of data they use and how they use it, from pharmaceutical and MedTech companies to hospitals, clinics, and other care providers. Which means every organization needs its master data management (MDM) strategy tailored to its unique needs, and adaptable as those needs evolve.
The goal of most MDM solutions is to create a centralized data source to ensure everybody in the organization is using the same data set, and that the data is all cleaned, governed, mastered and tagged the same way. The benefits of having a centralized, “golden” set of data include:
Developing your MDM strategy has little to do with the size of your organization or your industry segment, as data is recognized as a golden asset for any organization. What matters most is how your company operates and what it needs from the data it uses. For some companies, the goal is a single reference dataset for a very specific use, so the strategy needs to focus on ensuring that one set is clean, accurate and accessible. Other companies might also use one unified reference dataset, but share it across multiple departments (marketing, sales, etc.). Hence their MDM solution must ensure that everyone is accessing the same golden data source, so all activity from all teams can be easily correlated. And others require that multiple reference datasets be bridged for use by multiple parties, requiring a robust MDM able to handle higher levels of complexity.
One of the core features of MDM is the ability to align data usage across different divisions or business units, ensuring you get the most ROI out of your data by empowering more people to use it consistently. Relying on program-specific use cases limits the potential benefits of your data, so even in organizations where only one use case is currently needed, a good MDM strategy will ease future growth.
While an enterprise-wide approach may be considered the preferred vision for most, a hybrid or domain-specific strategy may be a better fit for some. For example, many of our clients build region oriented MDMs, while others build a global MDM that they adapt for each of their domain areas.
The most successful MDM strategies have one thing in common: they are designed to satisfy the business needs of the widest possible range of stakeholders (and thereby generate the greatest ROI as well). Accordingly, it’s important to start with a comprehensive assessment of how data is used across the entire organization. This can be done internally or with the help of an outside consultant, just so long as it is done thoroughly and doesn’t limit itself to the traditional view that data is solely in IT’s domain. The IT department is still an important stakeholder — in fact, they are often the first to grasp the business value (scale, efficiency, etc.) of centralizing and standardizing data — but every team needs to consider data’s role across all its functions and how it can benefit from MDM. An assessment helps map all these various business needs across all the impacted teams.
With an assessment in hand, you can then strategically choose the key areas where better data management can have an impact on your business right now. Focus on the use cases with the most substantial benefits and where there is room to grow and expand into other teams.
As you plan for how your MDM will impact the business, take a proactive approach to ensure wide adoption. Deploying a new MDM solution is essentially about effective change management. When asking people to change the way they work, if they don't see the benefit — if change is imposed from the top down and the daily users struggle to see the value — you can have the best solution but it can still fail.
While a good MDM solution can be a positive change agent, that doesn’t mean it should change the way you run your business. MDM should create efficiencies and savings within your business structure, not require you to restructure your business — which is why we recommend running your MDM the way you run the business, not the other way around.
An MDM solution is not like other systems that get implemented and every 2-3 years, everything is overhauled. The MDM you build now can impact your business far down the road. This is particularly true as AI, generative AI and ML technologies are driving change at a highly accelerated pace. The solution you implement now must be able to integrate the trends of the future, even when they come at breakneck speed.
Now is the time to create a resilient strategy that meets real business needs today and is also flexible enough to accommodate change and growth tomorrow.
A purpose-built life sciences information management solution leveraging a multi-domain approach to manage enterprise data for consistent, reliable and faster access to insights.
Connect data across your organization with master data management and data warehouse capabilities, and transform the way you make business decisions.
Data Governance and Stewardship provides a holistic model for maximizing the value of your data and effectively managing it across the business..
