Our research shows that companies with the highest tech transfer performance digitalize their tech transfer data and processes. But what does digital tech transfer look like, and how do you get there? This how-to guide shows life sciences companies the way.
Please enjoy the summary* below. For the full research, please visit our sponsor Dassault Systèmes (registration required).
Table of Contents
- Why Digitalize Tech Transfer?
- Digitalize Data
- Automate Data Gathering
- Integrate Data and Processes
- Expand Collaboration
- Gain and Leverage Knowledge
- Adopt Best Practices to Improve Tech Transfer
- About the Research
- Acknowledgments
Why Digitalize Tech Transfer?
Tech Transfer Objectives
The World Health Organization explains that “Technology transfer can be considered successful if there is documented evidence that the RU (receiving unit) can routinely reproduce the transferred product, process, or method against a predefined set of specifications as agreed with the SU (sending unit).” That may be true, but is that enough to define success from a business perspective? Companies have to be able to not just effectively transfer technology from early discovery to manufacturing. They have to do so efficiently, with quality, to compete.
Identifying Best Practices
Our report, Digitalizing Tech Transfer, benchmarked companies on their:
- Speed in achieving steady-state, full-rate production
- Yield and product quality in early production, and
- Their overhead cost to support tech transfer.
Researchers used these benchmarks to identify best practices that lead to successful tech transfer performance. These best practices include digital data, processes, and technology.
Driving Tech Transfer Improvements
This guide identifies key steps life sciences companies must take to implement best practices and improve tech transfer performance:
- Digitalize Data
- Automate Data Gathering
- Integrate Data and Processes
- Expand Collaboration
- Gain and Leverage Knowledge
All of the steps rely on digitalizing data and adopting a data-centric tech transfer approach to leverage the data and improve communication. We’ll explore each of these steps in the following pages.
For more details from this earlier research, please see Digitalizing Tech Transfer.
Adopt Best Practices to Improve Tech Transfer
Take the Time to Get it Right
It’s time for life sciences companies to digitalize tech transfer. Tech transfer success for analytical and manufacturing methods is critical to business success and profitability in the life sciences industry. But tech transfer success is multi-dimensional. Tech transfer requires agility, but speed without quality isn’t enough.1 Getting tech transfer projects right the first time helps save money and get to market faster.
Improving Tech Transfer through Digitalization
Digitalizing tech transfer processes and data is fundamental to improving tech transfer success and broader continuous improvement. The following steps can further drive best practices and performance improvements:
- Digitalize Data
- Automate Data Gathering
- Integrate Data and Processes
- Expand Collaboration
- Gain and Capture Knowledge
These steps build on each other to create a digital, data-centric tech transfer approach. Successfully improving tech transfer performance and results requires integrated, open systems that can connect data across the product lifecycle from early discovery through operations and transcend lab, plant, and corporate boundaries.
*This summary is an abbreviated version of the research and does not contain the full content. For the full research, please visit our sponsor Dassault Systèmes (registration required).
If you have difficulty obtaining a copy of the report, please contact us.