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Leveraging Data Analytics in the Fight Against Prescription Opioid Abuse

Cloudera

Every day in the US thousands of legitimate prescriptions for the opioid class of pharmaceuticals are written to mitigate acute pain during post-operation recovery, chronic back and neck pain, and a host of other cases where patients experience moderate-to-severe discomfort.

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Webinar Summary: Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms

DataKitchen

He drew from his twenty-five years of experience in business analytics, pharmaceutical brand launch strategy, and project management. He also highlighted the importance of agility and adaptability in data analytics. Iterating and quickly addressing customer questions or concerns improves outputs and conversations.

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Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software

DataKitchen

This has dramatically increased our team’s efficiency and our end stakeholders’ confidence in the data.” — Associate Director, Insights, Top 10 global pharmaceutical company. After working with DataKitchen for a while, we noticed almost an absolute absence of data errors we didn’t catch earlier. Databricks was all green.

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Implementing a Pharma Data Mesh using DataOps

DataKitchen

Below is a discussion of a data mesh implementation in the pharmaceutical space. For those embarking on the data mesh journey, it may be helpful to discuss a real-world example and the lessons learned from an actual data mesh implementation. Some data sets are used by multiple teams, but that introduces complexity.

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How DataOps is Transforming Commercial Pharma Analytics

DataKitchen

DataOps has become an essential methodology in pharmaceutical enterprise data organizations, especially for commercial operations. Companies that implement it well derive significant competitive advantage from their superior ability to manage and create value from data. DataOps Is the “New Normal” in Pharma .

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McKesson’s Cross-Cloud Data Journey

Snowflake

Snowflake connected with Sridevi Potu, McKesson’s Director of Data Analytics Platform Services, at the Data Cloud World Tour in Austin, Texas. Learn about the company’s journey to Snowflake and how it’s implementing a cross-cloud data strategy.

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Centralize Your Data Processes With a DataOps Process Hub

DataKitchen

The requirement to integrate enormous quantities and varieties of data coupled with extreme pressure on analytics cycle time has driven the pharmaceutical industry to lead in DataOps adoption. The bottom line is how to attain analytic agility? One data engineer called it the “last mile problem.” .

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