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    Everest Group Life Sciences Digital Services Specialists PEAK Matrix® Assessment 2024

    We’re proud to have been named a Leader in the Everest Group Life Sciences Digital Services Specialists PEAK Matrix® Report. Everest Group classified ...

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    From Chaos to Cohesion
    The Use of Natural Language Processing in Literature Reviews

    The Use of Natural Language Processing in Literature Reviews

    Literature reviews are a crucial part of life sciences research. They can reveal gaps in the existing research, provide information on unmet needs, and inform new market strategies. Even regulatory bodies rely heavily on literature reviews to help shape clinical guidelines and evaluate the effectiveness of treatments through statistical processes such as network meta-analysis. But there’s a catch ...
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    Orchestrating Omnichannel Measurement Approaches for Enabling Outcomes-Driven, Personalized Campaigns

    Orchestrating Omnichannel Measurement Approaches for Enabling Outcomes-Driven, Personalized Campaigns

    In the life sciences industry, traditional measurement tactics are falling short. They cannot address the complexities of the modern customer journey. The surge of digital channels and evolving customer behaviors are driving this difficulty. So how do you respond? This white paper redefines how life sciences companies approach omnichannel measurement. Authored by industry leaders Vandana Singh ...
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    How to Make Omnichannel Less of a Struggle for Pharma Marketers

    How to Make Omnichannel Less of a Struggle for Pharma Marketers

    Data drives everything we do today. At first glance, more data seems like a good thing. The more insight you have into something, the better the decisions you can craft. But that isn’t always the case. Too much information has proven overwhelming for many organizations, especially pharma companies. The rise of omnichannel marketing, where multiple avenues of reaching a consumer have been ...
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    Embedded Analytics

    Embedded Analytics

    Despite generating data an unprecedented rate, many life sciences companies still suffer from a lack of context. They have the data, they just don’t know what it means in the bigger picture. That means missed opportunities and missed revenue. Life sciences companies are now relying on embedded analytics to solve that. Instead of multiple applications, modern analyses can be baked into a single ...
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    Selecting the Right Omnichannel/NBA Algorithm

    Selecting the Right Omnichannel/NBA Algorithm

    As the life sciences industry becomes more data-driven, companies are harnessing advanced analytics to personalize interactions with healthcare professionals, patients, and stakeholders across multiple channels. In this scenario, identifying the best algorithm for omnichannel and the next best action (NBA) recommendations is crucial for optimizing customer engagement and achieving intended ...
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    Unified Data Platform Build Vs. Buy: Key Imperatives For Life Sciences IT Organizations

    Unified Data Platform Build Vs. Buy: Key Imperatives For Life Sciences IT Organizations

    Life sciences companies continually face the question of building or buying their critical data management solutions. Maximizing how far your dollars go and weighing the pros and cons of a build versus buy approach needs constant balance. While custom-built solutions offer the promise of more control, recurring investments create data silos, leading to ever-increasing costs to operate, maintain, ...
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    The evolving role of sales ops in omni

    The evolving role of sales ops in omni

    The nature of sales operations in life sciences is changing rapidly as digital marketing becomes a core function for marketers. Sales representatives are still central to pharma sales, but they need to leverage data and analytics to tailor conversations and provide a personalized customer experience while helping healthcare professionals solve problems in a complex healthcare environment. Axtria ...
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    Real-World Data-Based Simulations: Generating Medical Evidence From Clinical Trial And Real-World Data

    Real-World Data-Based Simulations: Generating Medical Evidence From Clinical Trial And Real-World Data

    Randomized clinical trials are the gold standard of evidence to support decision-making and the development of clinical practice recommendations. Yet, by design, they typically assess a drug’s safety and efficacy on a narrow patient population with pre-defined treatment strategies and over a short time horizon. Real-world data (RWD)-based simulations allow us to extend the insights already ...
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    Seeing The Whole Elephant: Integrated Advanced Data Analytics In Support Of RWE

    Seeing The Whole Elephant: Integrated Advanced Data Analytics In Support Of RWE

    The 21st century has brought about significant technological advancement, allowing the collection of new types of data from the real world on an unprecedented scale. The healthcare industry will benefit immensely from this abundance of patient data from electronic health records (EHRs), patient-reported outcomes (PROs), laboratory, demographic, social media, digital, and even climate data. While ...
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