Standard Conference only: £1999,
Standard Conference + workshop: £2498,
Conference only early bird by 18th december: £1799,
Conference + workshop early bird by 18th december: £2298
About the event
Data Science for Pharma 2016 is dedicated to driving the transformational change needed within pharma to extract true value and insight from real world data through advanced analytics.
Data Science for Pharma 2016 will help you power your predictive analytics and ensure improved clinical and commercial decision making.
Join leading thinkers as they strive to improve integration, access and advance learning from real world data.
Through improved analytics and data interpretation optimise your R&D productivity, streamline clinical development and maximise your drugs market access strategy.
Data Science for Pharma will deliver real time case studies from the likes of Novartis, Bayer and Merck demonstrating how the right data strategy and informatics partnerships can deliver smarter clinical and commercial decisions.
Top 5 reasons to attend:
1. Data Culture: Create a transformational shift from the big data paradigm to see value held within data analytics by re-educating your organisation
2. Data Access and Governance: Democratise internal access of data assets to improve decision making and ensure constant data flow to provide varied measures of thinking
3. Data Integration: Utilise big data tools to link data across varying data assets for improved insights
4. Data Standardisation: Build gold standard, transparent data sets that allow for faster, better and simpler data access and analysis
5. Real World Data: Enable the generation of RWE with real time patient monitoring to get the right medicines, to the right patients, at the right doses, at the right time
Speakers: Stweart Adkins, Jeremy Besnard, Farid Bidgoli, Clare Bradley, Christine Chald, Jim Connelly, Christel Daniel, Nataraj Dasgupta, Emanuele De Rinaldis, Enrico Ferrero, Dimitrios Georgiopoulos, Benjamin Hughes, Juhaeri Juhaeri, Graham Leask, Janette McQuillan, Linda McNamara, Melvin Olson, Larry Pickett, Richardo Silva, Tjeerd Van Staa, Lun Yang