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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.
Data Analytics For Pharma R&D 2018 Brochure

Data Analytics For Pharma R&D 2018 Brochure

Data Analytics For Pharmaceutical Development Forum held in Amsterdam, Netherlands from 11th – 13th September is the most targeted, pharma specific platform that gives you solutions to the biggest challenges in the field of data for Pharma.

Reach new heights in precision, productivity and patient centricity by joining industry leaders from key pharma companies like Astra Zeneca, Janssen, GSK, Novartis and Merck.

Our expert panel will be sharing their insights in technical optimization; discussing tangible methods for data analysis and optimization, and translating this into real world insight for your company.

To give you a snapshot, 2018 Speakers include:

  • David Whewell, Director of Architecture and Software Innovation, Merck Group
  • Matt Wiener, Director, Data Science, IKU in EMEA, Celgene
  • Pascal Bouquet, Global Head Technology and Architecture for Global Drug Development, Novartis
  • Samiul Hasan, Director Data Curation, GSK
  • Mats Sundgren, Principal Scientist, AstraZeneca 
  • Leonardo Rodrigues, Senior Director, AI & Machine Learning, BERG Heath
  • Nigel Hughes, Scientific Director, Janssen
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.

Data Analytics for Pharma R&D 2018 Survey Results

We recently conducted a quick surveyed of the Pharma IQ community to find out how much they are investing in data analytics and why.

We discovered that nearly 50% of pharma, biotech and CRO companies don't feel that they are utilising data very efficiently within their R&D process and that all respondents are currently investing, or planning to invest in better analytics systems.

Sample Attendee List Data Analytics for Pharma R&D 2018

Sample attendee list for Data Analytics for Pharma R&D 2018.

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.

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. 
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.

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.