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Best in Class Case Study with Allan Jordan

Best in Class Case Study with Allan Jordan

Allan Jordan strongly believes that while big data is important and can change pharma, it should not just be gathered without reason. There needs to be a purpose, and purpose is the main thing driving his latest project. 

The project in question is focused on exploiting genome sequencing efforts to discover new targets for cancer treatment. A huge opportunity for positive change. Download the Case Study to find out more. 
Big Data for Product Development

Big Data for Product Development

Big data is turning up everywhere. In this Process Perspectives podcast, Kaare Buch Petersen, Information Architect in Global IT at Christen Hansen, a Denmark-based supplier of bioscience products to food and health industries, talks about how his company has been using big data in the development of their new products.
Does Big Data in Pharma = Big Money?

Does Big Data in Pharma = Big Money?

As of now, big data is not used as often and as well as it should be in the Pharmaceutical Industry.   Slowly the Industry is adopting data and analytics to improve itself.

Data usage could lead to accelerated drug discovery, better help patients and predict emergency rush hours.  To keep reading, download the PDF file. 
Get Beyond The Silo With Big Data Analytics

Get Beyond The Silo With Big Data Analytics

In this infographic experts provide insight on how pharma firms can capitalise on cracking open their data silos. 
How to Create a Competitive Advantage with Big Data Analytics in Pharma

How to Create a Competitive Advantage with Big Data Analytics in Pharma

Nigel Hughes, Director Integrative Healthcare Informatics, Janssen R&D, takes a closer look at how access to external data is critical in today’s world and the ways data accessibility can provide pharmaceutical companies with a competitive advantage.

With large scale initiatives coming into practice, such as the European Medical Information Framework (EMIF), Hughes shares his top tips for implementing a project like this. Read this interview to find out the key opportunities and threats of utilising real world data and how the rise of personalised/ precision medicine will impact the use of data.
6 Ways Pharmaceutical Companies are Using Big Data to Drive Innovation & Value

6 Ways Pharmaceutical Companies are Using Big Data to Drive Innovation & Value

Pharmaceutical companies have always relied on empirical data in order to identify patterns, test theories and understand the efficacy of treatments. Big data is just another evolution in a trend that has been continuing for hundreds of years: that of human beings having ever greater access to information and data. But to really garner the benefits requires a different way of looking at data. Here are 6 ways that pharmaceutical companies can use Big Data and analytics to generate business value and drive innovation.

“It is a good time to be a data scientist in the pharmaceutical industry”

“It is a good time to be a data scientist in the pharmaceutical industry”

We caught up with Nigel Hughes, Scientific Director at Janssen, to explore the role of data analytics in the pharmaceutical industry, the challenges for those already working in data teams and the future of predictive analytics.
Top 5 tips to incorporate data visualisation into a successful business strategy

Top 5 tips to incorporate data visualisation into a successful business strategy

The biggest challenge life science companies now face is to learn how to use data, source of an enormous amount of information, and step out of the silos. Ahead of the third annual Data Analytics for Pharma Development, PharmaIQ had an exclusive interview Marie Montoya, CEO and Founder or M Montoya Consultancy, to understand how data visualisation, once incorporated into a business strategy, can help life science companies turn their business around into a cost efficient model. 

Infographic: Harnessing the power of data

Infographic: Harnessing the power of data

While most industries are already benefiting from better use of dataanalytics, Pharma has been slow to innovate their business mode and adopt new technologies. Pharma R&D is stalling, there is a cap onproductivity and companies need to leverage data insights to move forwards. With insights from Larry Pickett, CEO, RxDataScience, this infographic provides a step-by-step guide to overcoming the key challenges faced in establishing and implementing a coherent data analytics strategy.

Real World Data: Turning Volume in Value

Real World Data: Turning Volume in Value

Real World Data can benefit multiple stakeholders within the value chain in order to support the commercialisation of strategies and provide insightful analysis for differentiation, to assist with regulatory submissions and to influence the market access strategies. However, it is not without its limitations and there a number of issues related to the consistency and repeatability of real world data in the pharma industry. 

We spoke to two industry experts in order to better understand the role that RWD can play in drug development, improving patient outcomes and the speed at which products come to market. 

Artificial Intelligence set to Revolutionise Drug Discovery

Artificial Intelligence set to Revolutionise Drug Discovery

Artificial Intelligence, Machine Learning and other technologies are expected to make the discovery and development of new pharmaceuticals quicker, cheaper and more effective. Download this article to hear experts insights from Leonardo Rodrigues, Senior Director, AI & Machine Learning at BERG Heath about how these tools will revolutionise drug development over the next decade and what the future of a drug discovery market looks like when driven by AI.