Leveraging Business Analytics for Modern Drug Commercialization
IQVIA trusts SAS for all its analytics needs.
2 GB to 100 GB
Size data can be processed quickly and effortlessly.
Discover how IQVIA India is helping Pharmaceutical companies worldwide in improving the efficiency of drug launches using SAS
IQVIA is an American multinational company serving the combined industries of health information technologies and clinical research. It is a provider of biopharmaceutical development and commercial outsourcing services. With a network of more than 50,000 employees in approximately 100 countries, it is one of the world’s largest contract research organizations.
The Analytics Solution practice at IQVIA India works with the world’s leading pharmaceutical companies and healthcare providers to develop commercialization plans and portfolio strategies, to select patient and physician populations for specific therapies, and to measure the effectiveness of pharmaceutical marketing and sales resources.
IQVIA helps companies in effective product lifecycle management right from product launch to loss of exclusivity. With SAS Analytics and Modelling in place, IQVIA focuses on increasing the product’s competitive differentiation and improving the product’s overall market performance while streamlining operations by optimizing costs and increasing efficiencies.
The data needed to derive critical insights exists across the pharma, healthcare and life science industries, but the sheer size and complexity of the data can seem daunting. SAS helps us manage and analyze this data effortlessly and make the most informed decisions. Srinivasa Rao Hindupur Manager, Multi-channel Marketing IQVIA
Advanced Analytics in Life Sciences
In an increasingly competitive market, healthcare companies are now expected to increase clinical trial design and execution, demonstrate value of medicine and measure outcomes that deliver higher commercial results. Advanced analytics, specifically predictive modeling and optimization, can help companies target their resources in areas with the highest potential return.
Predictive Analytics can add value throughout the product lifecycle. It can accelerate drug discovery and understanding disease pathology through identification of lead compounds and mutations. It can accelerate clinical trial designs and response through identification of factors for treatment response and disease progression along with identification of patient recruits for trials. Post product launch, it enhances product uptake through treatment effectiveness, patient targeting, treatment response profiling and risk stratification for disease progression.
- Harnessing huge volumes of data for precision and efficiency in pharmaceutical product commercialization.
- Providing trustworthy actionable insights to healthcare providers to drive effectiveness in their marketing and sales efforts.
- Quicker turnaround time for loading massive amounts of data.
- Enhanced speed and easy access to trustworthy analytics
- Improved response time for actionable insights from raw data
Company – Facts & Figures (2017)
Presence across the globe
Companies global revenue value
Employees around the world
While the applications of Advanced Analytics may vary based on the IQVIA’s client’s business problems, IQVIA trusts SAS for all its analytics needs. The three key reasons being:
IQVIA has been using SAS solutions for the last 20 years for a variety of needs, be it data analysis, reporting, data mining or predictive modelling. One of the key reasons has been the fact that SAS has over 40 years of experience of applying analytics to the toughest business problems which makes the SAS solution trustworthy and robust.
Accessible and Scalable Analytics:
IQVIA considers Base SAS as an intuitive and easy to use programming language. Packaged programs or procedures significantly reduce the amount of code needed to deliver functionality with simple commands. This enables IQVIA to widely use SAS both in India and globally. SAS/STAT gives the business analysts access to a wide variety of procedures to meet all their statistical needs ranging from variance and correlation to regression.
Easy Data Handling:
Having a SAS Solution ensures that raw data sets, primarily csv and txt files, ranging from 2 GB to 100 GB in size can be processed quickly and effortlessly. Powerful procedures provided by SAS/STAT run predictive models on millions of rows of data in a matter of seconds. Less time spent in data loading, preparation and coding means that business analysts spend more time in analyzing the data and providing valuable insights to their clients.