We Enable Data-Backed Decision-Making for Our Clients by Offering Quality Solutions.
Build an efficient solution oriented culture in your function and organization with powerful market research, social media analytics, and business intelligence services from PharmaScroll to gain new insights, reshape business models, increase efficiency, and become more data driven. Our wide-ranging quantitative and qualitative services help organizations transform data into actionable insights for accurate, strategic, and tactical business decisions.
Forecasting
PharmaScroll offers comprehensive forecasting services tailored to meet your specific business requirements. We offer flexible engagement models designed to meet the diverse needs of our clients. For internal teams seeking ongoing support, our Forecast service provides dedicated expertise in modelling, forecasting, and scenario testing through full-time equivalent (FTE) based engagements. For project-based needs, our Forecast service evaluates the brand's potential under scrutiny, delivering revenue potential for the brand to drive informed decision making. Our expertise spans a comprehensive range of forecasting models:
Epidemiology Based:
PharmaScroll has expertise in epidemiology-based forecasting, and in crafting robust forecast models. We analyze data for relevant forecast inputs, bridge assumption gaps with market insights, and assess the competitive landscape. Our approach factors in product and market events, leading to a comprehensive evaluation of revenue potential. Our user-friendly platform offers diverse perspectives on key performance indicators such as patient projections, volume estimates, and revenue forecasts.
Patient Flow:
Tailored for indications like Oncology where patient pathways through various lines of therapy are intricate and evolving, our service offers a sophisticated approach to forecasting. By mapping patient flows across therapy lines and considering treatment duration, response, and competitor dynamics, the service supports strategic decision-making. Utilizing advanced analytics and industry knowledge, PharmaScroll creates realistic patient flow models, drawing on sources like APLD for forecast accuracy. The model also considers treatment algorithms, patient persistency, and eligibility criteria to offer a nuanced understanding of revenue potential.
Market Based:
We use advanced statistical methods to analyze historical market sales data and forecast future trends. By establishing a baseline through detailed trend analysis, we aim to select the most accurate trendline with minimal deviation from actual data. Our forecast method prioritizes key performance indicators such as volume and value sales to deliver precise revenue estimates. Our expert team develops reliable forecasts, enhanced by a dynamic tool that allows users to customize baselines and events for personalized scenarios.
Hybrid:
PharmaScroll offers a comprehensive Hybrid Forecasting Service tailored for products nearing launch or recently launched, utilizing an epi-based model to project potential patient pools. By integrating historic sales data, we validate current patient numbers and adjust assumptions such as Dx and Tx rates. Our approach extends beyond patient flow, incorporating future products and market events to determine revenue potential. With key performance indicators like patient numbers, volume, and value sales, we ensure a robust assessment of product growth.
Seasonal:
Our seasonal forecasting service offers tailored analysis for products in development targeting acute indications with short therapy durations, such as vaccines used prophylactically. We assess the impact of seasonality on susceptible populations to evaluate potential market pools. We comprehensively evaluate revenue potential by analyzing historical data and examining the competitive landscape.
Event Based:
Our forecasting services provide in-depth market insights, focusing on macro events. We identify the sub-impacts of events and analyze data to quantify them accurately. By reviewing historical sales data and using statistical methods, we forecast baseline figures and overlay the event's impact to project potential revenue changes. This helps clients understand potential revenue changes and offers actionable insights for strategic planning in response to macroeconomic events.