Dimitri Kutsenko has taken in his career different roles such as product management and business development in various industries including pharmaceutical, airline and telecommunication dealing with data analysis, data warehousing as well as product and quality management in software development.
Andreas Wenger is working in medical and scientific systems, where his mission is to implement user centric and innovative solutions to bring together the relevant business information from study, subject, sample and opportunity management and put it at the user’s finger tips.
Dimitri Kutsenko has taken in his career different roles such as product management and business development in various industries including pharmaceutical, airline and telecommunication dealing with data analysis, data warehousing as well as product and quality management in software development.
Entela Xoxi, Italian Medicines Agency (AIFA), Italy
After graduating from the University of Rome La Sapenza, she obtained a PhD in Pharmacology, a postgraduate diploma and two master’s degree in Pharmacology, Drug Development and HTA. Xoxi is skilled in appropriateness of innovative drugs. Currently, works as WG member on different therapeutic areas
Description
The data warehousing symposium will illuminate this current trend in the pharmaceutical industry from entirely different perspectives. We will critically look at the topic and analyze the reasons which make data warehousing projects a failure or success. The symposium will offer a platform to share experiences and shape ideas on future data warehousing developments in the pharmaceutical industry. We would like to invite all critical and visionary people to join the symposium and to discuss this "new" data warehousing trend.
Learning Objectives: Discuss real-life case studies and visions of data warehousing in the pharmaceutical industry Describe intra- and inter-company data warehousing projects Discuss perspectives of the industry and regulatory authorities on data warehousing Describe tight data and metadata integration for improved data analysis and decision making.