Clinical research organisations (CROs) are often buried under massive amounts of data that is difficult to analyse effectively and rapidly. Compounding this problem is that data often comes from multiple sources that are not inherently compatible or standardised and require additional transformations, which adds expenses and delays to the development of new drugs and therapies. Sheila Rocchio at eClinical Solutions, explains the different approaches that life sciences organisations can take to harmonise their data, eliminate delays, and achieve better outcomes.