Developing IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
Learn moreDeveloping IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
Learn moreDeveloping IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
Learn moreDeveloping IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
Learn more"We strive to help improve outcomes and create a healthier, more sustainable world for people everywhere.
LEARN MOREReimagine clinical development by intelligently connecting data, technology, and analytics to optimize your trials. The result? Faster decision making and reduced risk so you can deliver life-changing therapies faster.
Research & Development OverviewGenerate and disseminate evidence that answers crucial clinical, regulatory and commercial questions, enabling you to drive smarter decisions and meet your stakeholder needs with confidence.
REAL WORLD EVIDENCE OVERVIEWElevate commercial models with precision and speed using AI-driven analytics and technology that illuminate hidden insights in data.
COMMERCIALIZATION OVERVIEWOrchestrate your success across the complete compliance lifecycle with best-in-class services and solutions for safety, regulatory, quality and medical information.
COMPLIANCE OVERVIEWWhen your destination is a healthier world, making intelligent connections between data, technology, and services is your roadmap.
TECHNOLOGIES OVERVIEWExplore our library of insights, thought leadership, and the latest topics & trends in healthcare.
DISCOVER INSIGHTSAn in-depth exploration of the global healthcare ecosystem with timely research, insightful analysis, and scientific expertise.
SEE LATEST REPORTSBy making intelligent connections between your needs, our capabilities, and the healthcare ecosystem, we can help you be more agile, accelerate results, and improve patient outcomes.
LEARN MOREBuilding on a rich history of developing AI for healthcare, IQVIA AI connects the right data, technology, and expertise to address the unique needs of healthcare. It's what we call Healthcare-grade AI.
LEARN MOREThe IQVIA Human Data Science Cloud is our unique capability designed to enable healthcare-grade analytics, tools, and data management solutions to deliver fit-for-purpose global data at scale.
LEARN MOREThe IQVIA Innovation Hub connects start-ups with the extensive IQVIA network of assets, resources, clients, and partners. Together, we can help lead the future of healthcare with the extensive IQVIA network of assets, resources, clients, and partners.
LEARN MOREIQVIA Decentralized Trials deliver purpose-built clinical services and technologies that engage the right patients wherever they are. Our hybrid and fully virtual solutions have been used more than any others.
LEARN MOREEmpowering patients to personalize their healthcare and connecting them to caregivers has the potential to change the care delivery paradigm.
LEARN MOREOur mission is to accelerate innovation for a healthier world. Together, we can solve customer challenges and improve patient lives.
LEARN MORECareers, culture and everything in between. Find out what’s going on right here, right now.
LEARN MORE"Improving human health requires brave thinkers who are willing to explore new ideas and build on successes. Unleash your potential with us.
SEARCH JOBSThe life sciences industry has slowly begun to adopt machine learning (ML) and artificial intelligence (AI) to streamline workflows, automate manual processes, and leverage predicative analytics for more effective decision-making. This evolution is touching every aspect of drug development and commercialization – including forecasting – and that’s a great thing for commercial forecasters.
For decades, forecasters have relied on Excel spreadsheets and cut-and-paste tools to collate data and run forecasting numbers. These old-school strategies are time-consuming, costly and face a high risk of error. They also limit the number of questions forecasters can ask, and how rapidly they can generate results to inform their future market strategies.
By replacing spreadsheets and manual number crunching with trained algorithms, forecasting technology can now run an increasing set of predictive analytics, including scenario comparison, bias detection across multiple forecasts, and outlier analysis to show where forecast assumptions are ‘outside the norm’, all with a high degree of speed and accuracy.
These innovations aren’t just huge time savers. They make it possible to deliver better, more far-reaching forecasts, and to pose questions from multiple angles. But while automation saves forecasters effort, there’s concern that we’re losing the critical ‘human element’ of forecast building.
Like many industry professionals, commercial forecasters in the pharma industry have a love-hate relationship with the idea of machine learning and automation. On one side it promises to make their jobs easier, help them to be more accurate, and eliminate hours of drudge work. But there is also the persistent concern that if the technology gets too automated, they will be out of a job.
It’s time to put those fears aside.
Even the most automated forecasting solution is still only as good as the humans behind it. For example, an automated forecasting solution may be able predict anticipated revenues for a new product based on demand, competition, and expected market share, but the forecaster is still the one to determine what that means for the organization, including:
Pulling these insights from a forecast technology requires human interpretation and communication, which are often overlooked in the larger quest of just “getting to the numbers”.
While forecasters’ jobs are safe, these new platforms will change how they do their jobs. In the past making such predictions required large internal or offshore data crunching, forcing forecasters to limit the number of questions they can ask and delaying their access to results, potentially for weeks. That made forecasting less effective, and added time, cost and risk to the decision-making process.
The immediacy and control of automated platforms fundamentally alters what questions they can ask, and how quickly they can get answers. This frees forecasters to spend more of their time and expertise on value-added tasks: understanding the key drivers behind the commercial forecast and identifying practical strategies that drive value.
Forecasting automation may eliminate outsourced off-shore jobs for people who build spreadsheets and manually run numbers. But the forecaster role is emerging in the industry as a more critical function than ever, providing insights a machine could never achieve. And for those willing to make the most of ML/AI-driven tools, automation can help forecasters amplify their strategic value to the business, reduce turnaround time, improve forecast accuracy, and drive better business results.
To learn more about IQVIA’s Forecast Horizon platform click here or contact us at ForecastHorizon@iqvia.com