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
Demanding Data Consumers require a personalized level of Data Observability. As opposed to receiving one-size-fits-all status updates, these key stakeholders desire real-time, granular insights into the status of their specific data as it traverses the complicated data production pipeline. Learn why this is essential to your success.
Chris Bergh, CEO of DataKitchen, delivered a webinar on two themes – Data Products and Data Mesh. Bergh started by discussing the complexity within data and analytics teams, stating that complexity makes everything more complicated and, in the long run, it kills productivity.
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.
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,...
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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