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Best Practices

Best Practices

What is a Pareto Diagram, and How to Use It

Best Practices

March 30th, 2022

6 min read

Pareto diagrams provide graphical analysis for life science quality managers - showing how much each cause contributes to an outcome or effect. The Pareto chart is a quality improvement tool that is based upon the Pareto principle, the principle that 80% of an outcome comes from 20% of its inputs.

5 Necessary Steps for Building a Risk Assessment Framework

Best Practices

January 14th, 2022

7 min read

The life science sector is one of the country’s most lucrative industries. It’s currently worth $7.7 billion and is expected to attain a CAGR of 7.8% between 2021, and 2028.  But with huge rewards come huge risks, and the life science industries are abundant with them. From global volatility, intellectual property theft, to strict and...
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Scope Creep: Four Basics for Avoiding It

Best Practices

August 31st, 2021

4 min read

Of all the KPIs monitored within the Life Science industry, scope creep during technology implementations has a tremendous  impact on overall company performance. Scope creep, also known as requirement or feature creep, refers to uncontrolled changes or continuous expansion in a project’s scope. It’s often inevitable. But, if your project stays within scope, other KPIs...

Change – the psychology of crossing the chasm

Best Practices

May 12th, 2021

10 min read

Adapting to a change in a business model has many hurdles. Mentally preparing to do it might be the biggest hurdle of them all. Change. It is a word that elicits both excitement and fear. Whether it is regulations from a new administration, a company reorganization, implementing new technology, or a new business model, it...

Best Practices for Data Migration: How to Migrate from a Legacy QMS to a Cloud based QMS

Best Practices

April 29th, 2021

4 min read

Data migration from a legacy quality management system (QMS)  to a cloud-based solution can be a tricky affair but an essential one. Life science manufacturing companies collect significant volumes of documentation and data over time. This data often resides in on-prem antiquated systems that were put in place years ago and have seldom been updated....