In the pharmaceutical industry, data quality is an imperative. The challenge is that the volume and complexity of that data continues to grow in the R&D area.

Given critical business decisions need to be made utilizing this data, it is essential to ensure that data is accurate to make timely decisions such as:

“which studies have met their enrollment targets within the past month?”


“what is the genealogy of this drug product?”.

The challenge is that in many organizations this requires a significant amount of time and labor investment to manually:

Compounding these efforts is the need to repeat this process each time a new question is asked.

With that in mind, the organization needs to have a Data Quality Framework to ensure optimized decisions are made. The following discusses “The Process” to follow in order to implement a successful framework.

The Process

The process component provides a consistent, repeatable, best practice approach for data quality projects. The approach consists of: Assess, Plan, Design and Implement, and Measure and Control activities as shown in the figure below.


Data quality is critical in the pharmaceutical R&D area. The challenge is that the volume and complexity of data is continually increasing.

With many Pharm organizations, manually identifying, gathering, interpreting, cleansing, verifying, and integrating data takes a significant amount of time and effort. Moreover, these manual steps are typically necessitated each time a new question is asked.

Therefore the organization needs to implement an enhanced Data Quality Framework. An important element in creating this framework is having a process with the appropriate steps. This provides a mechanism to ensure optimized business decisions made.

Why It Matters To You

In the pharma industry, data quality is an imperative. The challenge is that the volume and complexity of that data continues to grow in the R&D area. In order to ensure optimal business decisions are made, there needs to be a Data Quality Framework that directs the effort.

In this blog, we discuss

For more information on this topic, read the whitepaper: A Data Quality Framework: Path to Trusted Data for Better Decision-Making

ResultWorks – An Astrix Business

About Astrix

For over 25 years, Astrix has been a market-leader in delivering innovative solutions through world class people, process, and technology that fundamentally improves scientific outcomes and quality of life everywhere. Founded by scientists to solve the unique challenges life sciences and other science-based business face, Astrix offers a growing array of strategic, technical, and staffing services designed to deliver value to clients across their organizations. ResultWorks, an Astrix business, achieves success for our clients through skilled facilitation and exceptional management leadership across Life Science domains from Research, Non-Clinical & Clinical Development, Regulatory Affairs, to Safety, Manufacturing, and Pharmacovigilance. To learn more about how ResultWorks enables biopharmaceutical leaders’ success, visit www.resultworksllc.com.

To learn the latest about how Astrix is transforming the way science-based business succeed today, visit www.astrixinc.com.