Interest in data science is growing in the life science sector, particularly among sales and marketing teams. Some companies are using big data to predict which physicians are most likely to prescribe their products. Once a target population has been identified, the data can be mined again to determine the combination of marketing messages that will be most meaningful to the individual physicians—and most apt to result in sales. This type of targeting is not new, but the amount of data available to do it is increasing, along with the tools and systems needed to aggregate and analyze that data.
Life science companies are also benefiting from informatics in the manufacturing side of the business. Effective use of data can help an organization:
- Optimize efficiency—cutting cycle times, reducing waste, increasing yields
- Meet FDA guidelines for Continued Process Verification
- Facilitate technology transfer
- Protect Intellectual Property
- Identify and mitigate manufacturing risks that could impede FDA compliance and even require disclosure under SEC regulations
Are you ready to use data and analytics to improve decision making?