The quality and timeliness of decision making in Pharma is the subject of constant discussion and some dissatisfaction. This is despite our sector having some 30+ years of working with, for example, specially configured cross function portfolio decision teams, as well as enough history to be able to analyse what are the most successful strategies.
For significant issues, the standard decision process in Pharma is for project level teams to analyse situations, then make informed recommendations to portfolio level management. Most companies aspire to make the analysis process systematic, based on best considered data and intelligent forecasting of future possibilities. This is often done poorly or misunderstood.
This course will review best practice techniques for analysing situations where uncertainty dominates and getting to thoroughly considered recommendations. it is suitable for experienced project / portfolio managers and their teams. It will feature case study work, typical scenarios, and facilitate sharing of best practice with like minded peers.