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The Power of Big Data Anaytics in Pharma [Infographic]

The Power of Big Data Anaytics in Pharma [Infographic]

In this infographic experts provide insight on the opportunities that exist in big data analytics for Pharma and how pharma firms can capitalise on cracking open their data silos.

Big Data: The Secret Ingredient to a Successful Life Sciences Formula

In this interview, Dimitris Agrafiotis, the Vice President & Chief Data Officer at Covance, discusses the five steps of the clinical trial process and details the ways in which Big Data is involved every step of the way. How has Big Data changed the game for you – given you new capabilities and platforms and the ability to analyze large data sets? There is a lot of hype behind Big Data and I think it’s very important to dissolve some of this hype. For example, modern relational database technologies handle massive amounts of data absolutely brilliantly and this will be very important in Covance’s clinical data warehousing efforts. I saw the evolution in the life science business. I saw the volume of data increase, the diversity of data increase and the complexity of data increase. But at the same time, conventional technologies advanced at almost an equal pace. So today’s relational databases are not exactly your grandmother’s relational databases.
Big Data in Life Sciences - Beyond the Buzz

Big Data in Life Sciences - Beyond the Buzz

Big data has moved beyond the big hype. The data landscape in life sciences is changing rapidly, advancing technologies, pre-competitive data sharing and huge growth of structured and unstructured data volumes available to organisations are driving big data breakthroughs. Life science companies are looking for new ways to leverage big data and turn it into actionable insights. This new infographic looks at the trends driving change in the data landscape in life sciences and the guiding principles that can help organisations.
Drowning in Data, but Starving for Knowledge? How to Define Big Data for Healthcare

Drowning in Data, but Starving for Knowledge? How to Define Big Data for Healthcare

Thomas R. Ortiz, is the Chief Medical Officer at Reliance Medical Group, LLC and operates the Primary Care Medical Practices in five counties within New Jersey. In this interview, Ortiz says his business would do better with more organised data streams, which would improve overall outcomes and costs. Find out how his organisation tackles the many challenges of big data within healthcare.
Creating An Efficiency Value of $1 Million With Data Analytics

Creating An Efficiency Value of $1 Million With Data Analytics

Big Data in healthcare delivery is really an illusion, according to Daniel Morreale, the Vice President and Chief Information Officer at Kingsbrook Jewish Medical Center.

Other than large, academic medical centers, or medical giants such as Quest or Kaiser Permanente, a majority of big hospitals are doing very little with their big data for a variety of reasons; not the least of which is a drought of data scientists to drill down and dissect the data.

Kingsbrook discovered big data could lead to success when they started to dig into the reason for delays and broken appointments in its radiology center. Thanks to analytics, they were able to reduce their broken appointments by 25% and create an efficiency value of a little bit more than $1 million.