en

GxP Compliance for Pharmaceuticals: A Merck and Dataiku Collaborative Effort

Dataiku has been qualified by Merck's internal audit and review process as supporting GxP compliance, enabling Merck’s use of Dataiku’s collaborative data science platform in production with regulated data.

The pharmaceutical industry’s highly regulatory environment can be tremendously demanding for organizations navigating the space. One of the biggest concerns that the pharmaceutical industry constantly attempts to address is the safety of its products and integrity of data used to make product-related safety decisions, a concern aimed to be addressed by GxP, a collection of regulations for good practices used in pharmaceuticals.

In October 2020, Dataiku was qualified by Merck’s internal audit and review process as supporting GxP compliance, which has enabled Merck’s use of Dataiku’s collaborative data science platform in production with regulated data. Here, we’ll cover what GxP is and why it’s so important, what the achievement means for both Merck and Dataiku, and, more broadly, how pharmaceutical companies can scale their data initiatives with Dataiku.

About Merck

  • Founded in 1668 in Darmstadt, Germany, Merck is a team of specialists in healthcare, life science, and performance materials with a love of science and passion for technology.
  • ~57,000 employees
  • € 16.2 billion in sales across 66 countries in 2019

Background: What Exactly Is GxP?

The concept of GxP requirements in pharmaceuticals was established by the United States Food and Drug Administration (FDA). The G stands for “Good” and the “P” stands for “Practice” — the “x” in the middle is a variable that can be substituted with any word that appropriately completes the acronym, such as GMP (Good Manufacturing Practices), GCP (Good Clinical Practices), or GLP (Good Laboratory Practices). Each variation has product-specific requirements that life sciences organizations need to consider based on the type of products they make and the country in which their goods are sold. 

In a nutshell, GxP:

  • Ensures that products and services are safe
  • Enforces regulated industries to stick to very specific and secure manufacturing processes and storage procedures
  • Ensures safe clinical trials involving human subjects and also establishes effective research standards for non-clinical laboratory trials
  • Has rigorously institutionalized the medical drug industry and is a globally recognized standard

GxP focuses on extremely effective and efficient documentation and refers to the clear establishment of various contributions in parts or whole to a particular product or study. Every step of the manufacturing process is documented in order to track the origins of any product and also verify every intermediate procedure it went through while being manufactured. GxP can be boiled down to its five main elements:

GxP chart

“We’ll now be able to use Dataiku for more use cases, such as those involving manufacturing or patient data.” Laura Patzer Product Owner for Dataiku at Merck

A Collaborative Approach: What GxP Compliance Means for Merck and Dataiku

While GxP has set rules and regulations, each company has their own unique process for GxP vendor/software approval. For Merck, Dataiku needed to complete an extensive questionnaire, respond to Merck’s internal audit team with any follow-up questions, and hold two sessions highlighting the capabilities of Dataiku, the data science platform supporting agility in organizations’ data efforts via collaborative, elastic, and responsible AI. According to Deborah Gilbert, a Senior Account Executive at Dataiku, “It’s a testament to our transparent and well-governed product design. It played a critical role enabling us to get GxP certification for Merck extremely fast.” 

While this was Dataiku’s first foray into supporting the process of GxP certification, it was also one of the most efficient audits that the advanced analytics team at Merck has ever performed with a software provider. It will spur new use cases in production environments (on both the regulated and non-regulated portions of their business) and democratize the use of data across different business units at Merck, using Dataiku throughout the supply chain. 

Laura Patzer, the product owner for Dataiku at Merck, is the ambassador for getting new users onboarded and is an evangelist internally for Dataiku’s platform. She leads the deployment team and works to mature the Dataiku offering at Merck. When we asked Laura the business value of the GxP certification for Merck using Dataiku, she said, “We’ll now be able to use Dataiku for more use cases, such as those involving manufacturing or patient data.”

At Dataiku, we are working with multiple global pharmaceutical clients to assist them to meet and maintain GxP compliance while using Dataiku in production with medical data and are pleased to have worked together with the team at Merck on this exciting achievement. 

Morgan Stanley’s Formula for Success: AI + Human Intuition = Differentiated Insights

Instead of simply turning to automation, Morgan Stanley Wealth Management’s Chief Analytics & Data Officer makes the case for augmented decision making.

Read more

Go Further:

AI Governance: Concepts, Criteria, and Credibility

Discover the roles of Responsible AI and model management in AI governance, where governance fits in the progression of AI maturity, and more.

Learn More

Enabling AI Services Through Operationalization and Self-Service Analytics

Many organizations with the hope of becoming more data-driven ask the question: self-service analytics, or data science operationalization - which will get me where I need to be? And the answer is: you need both.

Learn More

Bankers’ Bank + Dataiku: Goodbye Data Silos, Hello Analytics Efficiency

Organizations worldwide consistently cite data quality and speed-to-insights as their biggest challenges. Bankers’ Bank leverages Dataiku to increase efficiency and ensure data quality across an array of financial analytics, ultimately reducing the time to prepare analyses and deploy insights by 87%.

Learn More

Provincie Noord-Holland: Scaling Data Science in the Public Sector

See how Provincie Noord-Holland, an organization in the Netherlands' public sector, maximizes data science project efficiency and collaboration with Dataiku.

Learn More