Category: White Papers

To effectively promote orphan drugs, life sciences companies must get creative to follow rare disease patients’ winding journeys to diagnosis and treatment. We explore how companies can perform thorough investigations to more effectively match therapies up with patients.

Life sciences companies spend years researching, developing and testing therapies that offer exciting new possibilities for treatment. But it’s often the launch – that short time frame between R&D and product uptake – that determines whether the therapy will fly or flop. This white paper outlines how data-driven commercial operations help ensure long-term commercial success.

Pre-launch commercial decisions can set a pharmaceutical company up for sustained commercial success or generate negative consequences that can plague it for years to come.

Life sciences commercial leaders must capitalize on the wealth of data available today – as well as powerful advanced analytical techniques – to design segmentation and targeting plans that drive sales. At the same time, they must maximize sales rep acceptance of these plans. Read this white paper to learn how a life sciences company can create effective targeting plans that field sales representatives embrace.

The convergence of increasingly rich data and advanced analytical methods has propelled the use of machine learning forward in the life sciences industry. Machine learning can be especially beneficial when it comes to developing customer targeting plans. Read this white paper to learn how commercial leaders can use machine learning to enhance their targeting efforts.

The 2019 Emerging Pharma Pulse Report reveals the current state of emerging pharmaceutical companies’ commercial operations.

Uncertainty abounds as a life sciences company approaches a product launch. Read this white paper to learn how to build an effective, change-ready plan.

Life sciences companies must establish seamless data management processes before implementing the latest technology solutions. This white paper addresses common data management challenges