Customer Case Study
Discover how Pfizer Inc., a global leader in the pharmaceutical industry, successfully leveraged an AI analytics platform to transform the way they identify and treat rare diseases.
In our comprehensive case study, you'll gain insights into:
Collaboration Across Divisions:
Learn how Pfizer's analytics platform enabled various departments to work together seamlessly, breaking down data silos.
Harnessing Machine Learning:
Understand the role of machine learning algorithms in yielding previously unattainable insights in record time.
Navigating Complex Data Landscapes:
Explore how Pfizer managed the challenges of analyzing vast amounts of structured and unstructured data, including patient records and lab reports.
Impact on Rare Diseases:
See how the platform was instrumental in identifying patients with rare conditions like transthyretin cardiomyopathy, a disease often misdiagnosed due to symptom similarities with other heart failures.
This case study is a must-read for anyone interested in the intersection of healthcare, technology, and data science. Understand how Pfizer's innovative approach to data analysis is not just a game-changer in the pharmaceutical world, but also a beacon for other industries grappling with similar challenges.
Download now!
Alation Brief
Most of us are familiar with Google Maps, which shows the path to our destination with specific and timely directions from start to finish. Layers provide additional information like points of interest and traffic details such as construction or traffic volume ahead of time, which can help change our route and save time. The user experience makes it easy for anyone to use.
Alation Brief
Learn how Alation Anywhere brings the power of data intelligence directly to your fingertips - right in your browser. Our integrations now extend beyond Excel, Teams, Slack, Tableau, and Google Sheets to include Chrome. With the Alation Anywhere Chrome Extension, you can search, preview, and trust critical data without leaving Chrome, enabling faster, more informed decisions across your organization and seamlessly fitting into your workflow.
Webinar On-Demand
In today’s rapidly evolving digital landscape, effective data governance is critical for organizations striving to manage diverse and numerous data types. Ensuring the trustworthiness of AI/ML models requires robust governance of both inputs and outputs.