eBook
Balancing ad hoc and self-serve: A guide for healthcare data teams
How healthcare data teams are speeding up drug research, improving patient care, and reducing costs in healthcare organizations.
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How healthcare data teams are balancing innovation and cost efficiency
Healthcare data teams have a lot on their plates. They're juggling complex analysis while trying to make data more accessible to everyone, with volumes of confidential highly regulated and sometimes time-sensitive healthcare data. But here's the good news: there's a better way to do both.
In this guide, we'll show you how healthcare and life sciences companies are making it work. You'll learn:
How teams are balancing complex analysis with self-service analytics
Why data apps are, once again, the GOAT
Strategies for centralizing healthcare data from multiple sources