Data Science for Pharma 2016 will enable pharma to leverage data analytics and transform their drug brands and marketing.
There is frenzy amongst pharma companies to better predict outcomes of their drugs earlier than ever thought possible by collating, storing and analyzing the large data sets they have access to.
This highly competitive market will be worth $10 billion by 2020. Are you ready to step-up?
Pharma are increasingly struggling to capitalise on the information contained in these Big Data volumes and are currently deciding whether to build expertise in house or to outsource this process. Data Science for Pharma creates a unique forum to engage and influence pharma early in their buying process as they evaluate which direction to go.
If you offer solutions that help pharma to optimise their data management & analysis, design their IT infrastructure to support real insight or to leverage observational data in their commercial strategies, then you should be sponsoring and presenting your capabilities.
Here are just some reasons why you should consider sponsoring Data Science for Pharma 2016:
- Demonstrate your expertise on the agenda – have the attention of the entire audience. For greatest impact, why not position your talk before a networking break and immediately conduct follow up conversations with highly engaged attendees.
- Showcase you business and its services at an exhibition booth, which provides a perfect meeting place for all prospective new partners
You’ll get the delegate list in advance of the conference so you can plan your engagement and business development strategy (the delegate list is only available to sponsors).
Email David Ling at firstname.lastname@example.org for more information on 2016 sponsorship.