A Playbook for Optimizing Your Commercial Data Environment
For First Launch and Emerging Life Sciences Companies
For First Launch and Emerging Life Sciences Companies
What is keeping commercial data leaders in emerging life sciences companies up at night as they bring their technology to life in preparation for launch? What are the biggest concerns when considering changes to an existing infrastructure? Trinity Life Sciences has partnered with many first launch and emerging companies for decades to find solutions to their biggest technology challenges.
In this Advisory Brief, we pause to reflect upon some of the common missteps we’ve seen companies take when deploying their commercial data environment. We have compiled a playbook of best practices and things that companies should be thinking about to mitigate risk and foster success for their organizations.
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Case Studies
An Automated, Scalable Data Foundation to Generate Value from Newly Acquired Assets in 45 Days
The Situation A mid-size biopharma company had an ambitious inorganic growth strategy but a fragmented data ecosystem, with each brand and function using its own data universe. Without an enterprise-wide data foundation and a common language to communicate various performance metrics, onboarding new acquisitions was extremely slow and difficult. Trinity’s Solution Trinity recognized these issues […]
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Blog
Foundational Differentiation: CE Requires Efficient Operationalization of Data
What is data operationalization, and why is it important in life sciences? The ability to integrate insights from your data into your business workflows is commonly referred to as data operationalization. Throughout life sciences organizations, functional needs and behaviors have evolved, making data operationalization at scale a vital source of competitive advantage for life sciences. […]
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Blog
Can GenAI be Used to Improve Data Operations Efficiency?
The short answer is yes, by powering process automation with GenAI. It’s an approach that hasn’t received as much attention as other GenAI use cases within life sciences, but the results can be very powerful. To illustrate its power, we’ll examine a case study on identifying debarred healthcare professionals (HCPs). Why is it important to […]
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