Data drives everything we do today. At first glance, more data seems like a good thing. The more insight you have into something, the better the decisions you can craft. But that isn’t always the case. Too much information has proven overwhelming for many organizations, especially pharma companies. The rise of omnichannel marketing, where multiple avenues of reaching a consumer have been ...

Despite generating data an unprecedented rate, many life sciences companies still suffer from a lack of context. They have the data, they just don’t know what it means in the bigger picture. That means missed opportunities and missed revenue. Life sciences companies are now relying on embedded analytics to solve that. Instead of multiple applications, modern analyses can be baked into a single ...

Life sciences companies continually face the question of building or buying their critical data management solutions. Maximizing how far your dollars go and weighing the pros and cons of a build versus buy approach needs constant balance. While custom-built solutions offer the promise of more control, recurring investments create data silos, leading to ever-increasing costs to operate, maintain, ...

The nature of sales operations in life sciences is changing rapidly as digital marketing becomes a core function for marketers. Sales representatives are still central to pharma sales, but they need to leverage data and analytics to tailor conversations and provide a personalized customer experience while helping healthcare professionals solve problems in a complex healthcare environment. Axtria ...

Randomized clinical trials are the gold standard of evidence to support decision-making and the development of clinical practice recommendations. Yet, by design, they typically assess a drug’s safety and efficacy on a narrow patient population with pre-defined treatment strategies and over a short time horizon. Real-world data (RWD)-based simulations allow us to extend the insights already ...

As the life sciences industry becomes more data-driven, companies are harnessing advanced analytics to personalize interactions with healthcare professionals, patients, and stakeholders across multiple channels. In this scenario, identifying the best algorithm for omnichannel and the next best action (NBA) recommendations is crucial for optimizing customer engagement and achieving intended ...

The 21st century has brought about significant technological advancement, allowing the collection of new types of data from the real world on an unprecedented scale. The healthcare industry will benefit immensely from this abundance of patient data from electronic health records (EHRs), patient-reported outcomes (PROs), laboratory, demographic, social media, digital, and even climate data. While ...

The link between life sciences field teams and the healthcare community has been vital in delivering valuable drug information that supports informed decision-making by the physician. Most of the tools of the trade for omnichannel orchestration, such as triggered communications, A/B testing, and Customer Data Platforms, were initially developed for digital marketing. Field teams work differently ...

The transition from multichannel to omnichannel customer engagement is critical for the industry but not as straightforward as it may seem. Over the years, pharmaceutical companies have tried to make a move, but very few can claim to be successful and having achieved omnichannel maturity. COVID-19 accelerated the digitization drive across industries and demonstrated the potential of virtual ...