What It's About

The use of analytics in life science companies faces challenges that other industries do not. Life science organizations have unique data integrity needs because they deal with protected health information. Despite these challenges, the undeniable usefulness of analytical tools is leading to wider adoption in the life sciences.

This white paper describes the available tools for developing a cohesive data fabric and provides examples of their use for the data transformation process in life sciences settings.

Who it’s for

You need this white paper if you’re a curious life sciences researcher who wants to understand the use of the R statistical package, Python, or Power BI, among other options, for analyzing data better in their lab. Business leaders who want to bring analytics tools to bear for business process automation and greater efficiency in making wise business decisions will also benefit.