Year of Knowledge
IIFC started in 2023 with the Pharma Business Forecasting aiming to advance the growth of business forecasting and supply chain management.
Active Professional & Members
Active IIFC members benefit from access to forecast model tools and techniques and used cases and also they get assess to part of live projects.
Certified Professional
There’s a Certified Forecast professional in every Pharmaceutical and Bio-Tech company providing valuable insight and driving growth.
--------About Us--------
Pharmaceutical forecasting
Pharmaceutical forecasting predicts future trends in the pharmaceutical industry, specifically focusing on drug sales and patient populations. It’s complex because it involves modeling both disease behavior and the healthcare system, which can vary greatly.
Here’s a breakdown of pharmaceutical forecasting:
- Focus: Drug sales, patient populations
- Complexity: High, due to modeling diseases and healthcare systems
- Methods: Patient-based approaches over pure sales data
Forecasting in pharmaceuticals helps companies make crucial decisions about:
- Resource allocation: Optimizing production, staffing, and research based on predicted demand.
- Drug development: Prioritizing which diseases and treatments to focus on.
- Marketing and sales strategies: Tailoring efforts to reach the right patients with the most relevant drugs.
What Do We Do?
- AI + Experts: Supercharge data analysis with AI, but keep human smarts for interpreting results and market needs.
- Adaptable Scenarios: Plan for different futures, then use AI to update those plans based on real-time data.
- Crowd-powered Foresight: Tap into the collective intelligence of experts and enthusiasts to predict trends and disruptions.
- Innovation Portfolio: Measure the potential of new ideas and manage them like investments for maximum impact.
- Fast Experimentation: Build prototypes quickly, test them with users, and learn fast to refine your innovation forecasts.
- Flexible & Automated: Build forecasts that adapt to changing goals and can be easily updated with new data.
- Cloud-based Solutions: Leverage cloud computing for scalability, allowing your forecasting system to handle increased data volume and users.
- Modular Design: Design your forecasting system with modular components that can be easily added or removed as your needs evolve.
- Standardized Processes: Establish clear and repeatable processes for data collection, analysis, and reporting to ensure consistency during growth.
- Defining Goals: What do you want to forecast (sales, trends, etc.) and how will it be used?
- Data Gathering: Identify the data needed (historical sales figures, market research) and ensure its quality.
- Choosing Methods: Select the forecasting technique (statistical models, expert judgment) that best suits your goals and data.
- Setting Timeframes: Determine how far into the future you need to forecast (short-term, long-term).
- Establishing Monitoring: Plan how you’ll track forecast accuracy and adjust it as needed.
Upcoming Events
Forecasting Webinar
Patient-based forecasting is a method used in healthcare to predict future healthcare needs and outcomes for individual patients or specific patient populations.
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Forecasting Training
Forecasting training involves learning methods and techniques to predict future trends based on historical data. This is essential in various fields such as healthcare, finance, supply chain management, and more.
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Forecasting Conclave
A Forecasting Conclave is a gathering of experts, practitioners, and enthusiasts in the field of forecasting. It typically includes presentations, panel discussions, workshops, and networking opportunities.
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Forecasting Conclave
A Forecasting Conclave is a professional gathering focused on sharing knowledge, discussing trends, and collaborating on forecasting challenges across various industries. It includes case study presentations, and networking opportunities.
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Our knowledge
Patient Based Forecasting
Patient-based forecasting is a method used in healthcare to predict future healthcare needs and utilization based on individual patient data. This approach helps in personalized treatment planning, resource allocation, and improving overall patient care.
Oncology Based Forecasting
Oncology-based forecasting involves predicting cancer-related outcomes, treatment needs, and resource utilization to improve patient care and optimize healthcare resources. This approach is crucial for personalized cancer treatment planning and efficient management of oncology services.
Demand Forecasting
Demand forecasting is the process of predicting future customer demand for products or services based on historical data, market trends, and other relevant factors. Accurate demand forecasting helps businesses optimize inventory, reduce costs, and meet customer needs effectively.
BD & L Forecasting
Rare diseases Forecasting
Rare disease forecasting involves predicting the future prevalence, diagnosis rates, and treatment needs for rare diseases. This type of forecasting is crucial for resource allocation, drug development, and healthcare planning.
Time Series Analysis
Time series analysis is a statistical technique that deals with time-ordered data points. It is used to identify patterns, trends, and seasonal variations in data to make future predictions.
IIFC Members & Customers
