Big Data & Big Pharma: How Analytics Might Save Your Life

Long before the tech sector christened almost every type of analytics as big data, the pharmaceutical and biotech industries were heavily reliant on analytics to develop new, safer drugs, and to produce those drugs more efficiently. Big data plays a key role in building upon what we have learned about the human genome, in managing effective clinical trials, in long-term monitoring of drug applicability in real-world healthcare, and in managing the manufacturing process.

Consider what the use of big data in pharma and biotech companies means to you as a consumer. It means getting the right drug to the right patient at the right time for the right condition. Now, consider what you can learn as a business person -- no matter what industry you are in -- from the analytics techniques, and the data management and data mining concepts pioneered by big pharma.

Jim Baxter, head of the life sciences practice at Collaborative Consulting, joins All Analytics Radio on Tuesday, May 19, at 2 pm EDT, for a discussion of how pharma and biotech companies finding benefits in big data analytics.

In this show you will learn:

• How use of big data analytics have evolved in the drug and medical device industries
• What types of benefits life sciences companies are finding through use of analytics
• What big data in pharma means to you as a possible patient
• What the future holds for use of analytics in life sciences
• What lessons big pharma can teach analytics professionals and decision makers about use of big data in their own business environments