Life Science Analytics Tools: Open Source or Commercial
The use of analytics in life sciences companies faces challenges that analytics in other industries do not. Life sciences 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.
