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About US

Pharmaceutical forecasting

harmaceutical 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.
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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

Business Development and Licensing (BD&L) forecasting is a strategic process used by companies, particularly in the pharmaceutical and biotechnology industries, to predict the future value and potential of business development opportunities and licensing deals.

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. 

Frequently Asked Questions

A powerful forecasting engine flows through IIFCpro, delivering precise insights and strategic intelligence to the pharma world. It is a hub of innovation and clarity.

IIFCpro is a dynamic and responsive website developed for Zoiverse Technologies  Pvt. Ltd., a pharmaceutical forecasting company. It is designed for pharma professionals, analysts, and organizations seeking accurate market insights and forecasting solutions.

IIFCpro focuses on pharmaceutical forecasting, including sales forecasting, competitive intelligence, market research, epidemiology-based forecasting, HEOR, and RWE analysis.

Absolutely. IIFCpro provides flexible and scalable forecasting models that can be tailored to various drug portfolios, markets, and therapeutic areas.

Yes, users can connect with industry experts through one-on-one consultation services available directly via the platform.

Lovely Customers

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Scholavar's pharma forecasting course provided concise and impactful knowledge on forecasting models and analytical tools. All the instructors were highly knowledgeable, making complex concepts easy to understand. A special thanks to Dinesh Pandey Sir, who brought immense expertise and passion to each session.

Raman Sing Univdatos Market Insight

I had the privilege of learning Pharma Forecasting and Market Intelligence CI under the guidance of Mr. Dinesh Pandey at Scholavar. The Skills I gained have unlocked new opportunities in the healthcare sector. I personally recommend Dinesh Pandey and Scholarvar to anyone aiming to excel in this field.

Rahul Ahire Consultant at AMRA

With the immense guidance and support of Dinesh sir, I have gained expertise in Pharma forecasting and data analysis which has not only upgraded my skills but also opened new avenues of growth opportunities within healthcare domain. I would like to thank entire Scholavar team for giving such a great learning platform.

Shweta Gupta COURSE 5i

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