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.
Trinity Life Sciences recognized in Gartner® Hype Cycle™ for Life Science Commercial Operations
Senior Vice President,
Deployment and Technology
Vice President,
Commercial Data Management
Gartner, Hype Cycle for Life Science Commercial Operations, 2023, Animesh Gandhi, 20 July 2023.
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