Day One – Tuesday 24th June 2008 |
| 08:30 |
Registration and coffee |
| 09:00 |
Forecasting activities in an organisation |
| 09:15 |
Fundamentals of market share forecasting |
| 09:30 |
Operational vs. strategic forecasting |
| 09:45 |
In-product market share forecasting in Europe
The forecasting toolbox
Review of quantitative and qualitative methodologies
Understanding time series vs. causal methods |
| 10:40 |
Morning refreshments and networking |
| 11:00 |
Selecting the best statistical method to extrapolate in-market sales |
| 11:30 |
Forecasting filtered data vs. raw data |
| 11:45 |
Capturing seasonality in a forecast |
| 12:15 |
Practical case study examples |
| 13:15 |
Lunch |
| 14:15 |
The European in-market product market share forecasting environment
Structural design
Volume and value market share architecture
Market, product and share assumptions |
| 14:45 |
The derivation of ex-factory sales forecasts |
| 15:00 |
Dealing with parallel trade |
| 15:20 |
Comparison to financial forecasts |
| 15:30 |
Afternoon refreshments and networking |
| 15:50 |
Forecasting hands-on session
Hands-on experience with in-market product sales forecasting techniques (at the workshop, participants are encouraged to bring in-market sales data of their choice for forecasting) |
| 17:50 |
Closing remarks and end of day one |
| Day Two - Wednesday 25th June 2008 |
| 08:30 |
Morning coffee |
| 09:00 |
Strategic forecasting fundamentals |
| 09:15 |
Why patient share forecasting |
| 09:30 |
Developing a patient share forecasting model: the theory |
| 10:40 |
Morning refreshments and networking |
| 11:00 |
Practical applications of epidemiology-based modeling
- Setting population, disease and product trees for segmentation
- Generating treated patients by segments: prevalence vs. incidence
- Model validation
|
| 12:30 |
Lunch |
| 13:30 |
Total market approach to epidemiological-based forecasting
- Computing segmented patient share baseline forecasts
- Defining market, patient share, product and pricing assumptions
- Working with up-take and erosion assumption impact curves
|
| 14:45 |
From patient-share to product and volume forecasts |
| 15:00 |
Review of case studies |
| 15:40 |
Afternoon refreshments and networking |
| 16:00 |
Structuring the forecasting process in an organisation |
| 16:15 |
Bridging operational and strategic forecasting |
| 16:30 |
The forecasting KPIs |
| 17:00 |
Concluding remarks |
| 17:15 |
Close of workshop |
| About your workshop leader: |
| Dr Robert Carbone |
| |
Dr Robert Carbone received his doctorate from Carnegie-Mellon University. He co-developed the Carbone-Longini AEP filter, which contributed to the application of adaptive filtering methods in forecasting. He has guided the development of the FUTURCAST system. A gold standard in the pharmaceutical industry, the system evolved from a PC application software to a fully integrated Assumption-based Oracle platform. Dr Carbone has made the academic tradition of research and development a hallmark at Futurion. |
| Walter Colasante |
| |
Walter Colasante is a Senior Advisor to and Associate of Futurion Pharmaceutical Group. He has a background in medicine and also holds an MSc in biochemistry and an MBA. Before this, he spent over ten years in the pharmaceutical industry in clinical development, brand management, project management, disease management and strategic marketing of Bristol-Myers Squibb, Allergan, and Novartis. |