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
Drug Launch Case Study: Amazing Efficiency Using DataOps
When launching a groundbreaking pharmaceutical product, the stakes and the rewards couldn’t be higher. This blog dives into the remarkable journey of a data team that achieved unparalleled efficiency using DataOps principles and software that transformed their analytics and data teams into a hyper-efficient powerhouse.
From Cattle to Clarity: Visualizing Thousands of Data Pipelines with Violin Charts
What do you do when you have thousands of data pipelines in production? Is there a way that you can visualize what is happening in production quickly and easily?
Data Quality Circles: The Key to Elevating Data and Analytics Team Performance
DataOps Quality Circles are focused teams within data and analytics organizations that meet weekly or monthly to drive continuous improvement, quality automation, and operational efficiency. By leveraging the principles of DataOps, these circles ensure that data processes are error free, consistent, and aligned with business goals.
2024 Gartner Market Guide To DataOps
We celebrate Datakitchen’s leadership in the 2024 Gartner Market Guide to DataOps. DataKitchen has the most complete, feature-rich, open, and modular DataOps product suite in the industry and the expertise to help you succeed
DataKitchen’s Data Quality TestGen Found 18 Potential Data Quality Issues In A Few Minutes!
Imagine a free tool that you can point at any dataset and find actionable data quality issues immediately! I took DataKitchen’s Data Quality TestGen for a test drive on ~600k rows of Boston City data and found 18 data quality hygiene issues in a few minutes.
How Three Small Pharma Companies Used DataKitchen to Achieve Commercial Launch Success and Skyrocket to $100 Billion in Acquisition Value
Three pharma companies recently made headlines by securing successful exits totaling $100 billion. What’s their common denominator? They all chose DataKitchen to power their pre-launch data operations. Here’s why DataKitchen stood out as their partner of choice.
Congratulations to the Karuna Team for their acquisition!
Today, Bristol Myers Squib (BMS) has fully acquired Karuna Therapeutics. We congratulate our customer on an amazing success.
Embracing Agility and Excellence in Data Operations: The DataKitchen DataOps Way
DataKitchen’s DataOps services are designed to empower teams at various stages of their DataOps adoption, providing a flexible and comprehensive roadmap to operational excellence
Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software
At DataKitchen, we would like to share some key success metrics of Data Observability Using DataKitchen DataOps Observability and DataOps TestGen.
The Need For Personalized Data Journeys for Your Data Consumers
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.
Webinar Summary: Data Mesh and Data Products
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.
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
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.Â
Kurt Zimmer, Head of Data Engineering for Data Enablement, AstraZeneca
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