Analytics:
Data Management
Understand your life sciences-specific data functions and how they compare across your industry.
Life sciences organizations often find that they have trouble getting the maximum value from the range, number, and volume of their data sources, internal and external. These sources vary in quality, update at different rates, and can fail to match each other in various ways, such as how units are reported, labels are assigned, or locations are recorded. Various functional areas within the organization use these sources for different purposes.
The result can be missed insights, insufficiently supported decisions, and a lack of overall coordination. Even minor attempts at changes can cause unanticipated problems for a key functional area that relies on a specific source. Organizations find themselves optimizing around the edges, without ever getting a clear overall view of what they need.
A data roadmap or benchmarking project can provide the clarity necessary to make significant improvements in data acquisition, management, and use.
A clear understanding of the organization’s data needs and competitive data position is essential for making the best possible data decisions.
Webinars
A Massive Change Ahead in CRM: Predictions and Implications for Pharma
Available On Demand
Are you ready for the transition and change being forced on the pharmaceutical industry given the unprecedented Customer Relationship Management (CRM) changes announced by Veeva, Salesforce and IQVIA? The status quo is not an option. Life science companies are being forced to evaluate the implications on their customer strategy and operations as the CRM […]
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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
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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Senior Vice President &
Head of Data Orchestration
Senior Vice President,
Deployment and Technology
Vice President,
Commercial Data Management
If you have any questions, we’re here to answer them.
We look forward to helping identify solutions for you.