Customer Stories
We realized dramatics cost savings and also capitalized on opportunities better because we were more efficient and could do things more quickly.
– James Royster, Head of Data Strategy and Operations, Celgene
Webinar Summary: Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms
In the webinar “Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms,” James Royster, Vice President of Commercial Operations, Insights, and Analytics at Karuna Therapeutics, shared his insights on leading efficient and effective data analytics teams.
Large Pharma Achieves 5X Productivity Gain With DataOps Process Hub
The Challenge A large pharmaceutical Business Analytics (BA) team struggled to provide timely analytical insight to its business customers. The company invested significant effort into managing lists of potential prescribers for certain drugs and treatments. However,...
Improving Collaboration with a DataOps Platform
Accelerating Analytic Cycle Time with DataOps
Automating Governance of Self-Service Analytics with DataOps
Reducing Errors and Building Trust with the DataKitchen Platform
Celgene – Meeting the Product Launch Challenge with DataOps
Banking on Data(Ops) to Win in Financial Services
Recently, Amgen purchased the pharmaceutical unit of Celgene responsible Otezla for $13.4 billion. Otezla is not your typical run-of-the-mill M&A blockbuster. They are a DataOps pioneer. DataKitchen is proud to count ourselves as a key partner in Otezlas DataOps...
DataOps has the potential to be a transformative capability, and not just from a technology perspective, but from the lens it brings to how we approach complex data environments. It takes them out of the craft world of people praying, to one where there’s constant monitoring and measuring against a baseline. [It provides the ability] to incrementally and constantly improve the system.
Kurt Zimmer, Head of Data Engineering for Data Enablement, AstraZeneca
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The Celgene Story: Building a Billion-Dollar Product Launch Success with DataOps »
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