UK Pharma Forecasting - Workshop Objectives
Overview of the workshop objectives:
1. Provide context of how forecasts & models are used within healthcare companies & the industry in general, to drive business-critical decisions.
2. Give a flavour of the different approaches to forecast modelling, different available platforms / programmes & software and their most appropriate application vs. customised Excel spreadsheet models
- Short-term tactical forecasting (12-18 month focus)
- Mid-range strategic forecasting (3+ years)
- Long-range strategic forecasting (5+ years)
- In-market (launched) vs. development phase (pre-launch) product support & needs from forecasting
- Static vs. dynamic forecasting methods
- Specialist vs. GP product forecasting
- Novel techniques for estimating market share through targeted patient capture
- Aligning forecasting methodology, structure & assumptions/input variables to support marketing strategy & tactics
- Process for building a forecast model
3. Align components of the workshop to daily role requirements & functionality of business analysts working for UK-based healthcare companies.
“Steering the business”:
- Dealing with forecast requests from centralised functions (European/Global, international departments – top down / bottom up forecast ‘push’ )
- Completing pre-formatted templates
- Defending forecast submissions
- Reviewing & challenging top-down centralised forecasts for the UK.
“Running the business”:
- Supporting sales & brand teams to set sales targets
- Helping to select sales & marketing activities to optimise available budget
- Tracking ROI on selected market activities
- Managing supply chain forecasting & demand planning activities
- Multi-functional team working & support to market access processes
- Communicating forecasts to senior management to support critical business decisions
4. Provide hands-on practical sessions in Excel
- Working with data in Excel
- Structuring data to enable use of Pivot objects for rapid analysis & extraction
- Auto filters & other database / reference functions built into Excel to convert data into usable format to feed into & provide basis for forecasts
- Short-term extrapolation techniques (avoiding straight lines & exponentials)
5. Increase efficiency & accuracy when dealing with data & working in Excel
- Best practice (across industry & within Excel)
- Key board shortcuts
- Large scale manipulation of data & formulae
- Working within Excel frameworks to organise data & calculations in optimal layout to minimise capacity for entry input errors
- Formatting & workbook structure
6. Provide an overview of available data sources that would potentially be of use & applicability for UK operating companies for:
- Demographic data
- Patient populations
- Diagnosis rates & hospital episode statistics
- Prevalence rates & disease burden by health authority / region within the UK
- Volume & prescription data
- Bridging data gaps & finding relevant useful information
All delegates will be required to bring with them a laptop (with power cable) with Excel installed, since at least half the workshop will be practical sessions using Excel. Delegates will leave the day with knowledge & skills that can immediately be put into use.