Data is the new currency of success and we cannot afford to keep relying on company reputation to standout. We need to be smart, agile and personalised in order to unlock the potential and value of our data!
Let’s be honest, the future of the Pharmaceutical Industry lies in overcoming barriers to innovation through advances in data analytics. We need to move past the challenge of unstructured data sets and integrating data from multiple sources to begin to work collaboratively with other departments and organisations and create a real world evidence framework for our pharmaceutical development through effective data utilisation.
Last September, industry leaders from key pharma companies like Janssen, BERG, AstraZeneca, Novartis & GSK came together to share their insights into the role of data analytics, discussing tangible method for data optimisation, and translating this into real world strategies.
In 2019, we'll be re-grouping to further the discussions. Do you want to be pert of the conversation? If you're an Industry Innovator trying to advance your company’s data utilisation, we can't you involved! We all know that Data Analytics, or ‘Big Data’ is not new to the Industry, but this year’s Data Analytics for Pharma Development forum will ensure that you are at the forefront of innovative industry discussion and process excellence strategies.
Case Study Led
All of our speaker sessions are case-study driven and led by experts working in the industry. This means we're not just working with theory - expect real-life examples and shared experience.
Discuss with your peers how best to tackle the challenges of implementing RWD and A.I. Focus is on turning theory and multiple different strategies into practical processes you can take away and implement.
Interactive Panel Sessions
Have a question or challenge you're facing that needs specific attention? Ask the speaker! Our sessions are 100% interactive, giving you the opportunity to deep dive into the challenges you're facing and find a solution.
Focus on concrete strategy you can implement
All the sessions you attend are grounded in the knowledge that the strategies and concepts being discussed need to be applicable in the real world and adapted into existing systems.
2018 Featured Speakers
Director, Data Science, IKU in EMEA
Director Data Curation
Director of Architecture and Software Innovation
Global Head Technology and Architecture for Global Drug Development
Senior Director, AI & Machine Learning
Former VP & CEO
European HTA and Health Economics manager
Otsuka Pharmaceutical Companies
Practical Big Data Analytics: Hands-on Techniques to Implement Enterprise Analytics and Machine Learning Using Hadoop, Spark, NoSQL and R
Senior Scientist, Digitalisation
2019 Headline Topics
Define your data strategy in order to increase productivity and ROI
Drive your R&D productivity to new heights through complete data integration and cross-organisational data utilisation
Real World Data
Build a commercialisation plan into your development process and demonstrate the value of your products to multiple stakeholders with Real World Data insight
Learn how to utilise Data Analytics to Advance Personalised Medicine
Machine Learning and AI
Analyse why machine learning should be implemented in your processes
Ensure authenticity and eradicate fraudulent modification of data
What Others Have to Say
"It’s not just about the volume of data, it’s the complexity of data that we are challenged by."
"Delivered top bang for the buck, and more! Superb."
"If this is your field, all the big players are there."
"Extremely valuable as my company is setting out on an joint Info Governance and e-discovery programme."