How to Get Pharma Leaders to Wrap Their Minds—and Their Arms—Around Advanced Analytics

Posted by Shreyas Murthi on Mon, Mar 11, 2019

 

The business of pharma is becoming more data-driven—from R&D to commercial—yet many pharma companies still struggle to garner leaders’ buy-in to build and operate the analytics programs that they need to fuel their success. They face tough challenges, including overcoming skepticism, proving the program’s value and scalability, finding the right talent and ensuring organizational collaboration.    


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The State of AI Adoption in Pharma

Posted by ZS Editors on Tue, May 01, 2018

Artificial intelligence, predictive analytics and other such technologies are coming to a pharmaceutical company near you. In fact, some would say that they’ve already arrived. But just how ready are pharma companies to embrace and integrate these technologies, and can AI really deliver?


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Success in Shifting Analytics to the Cloud

Posted by Sanjay Bhasin on Wed, Jun 08, 2016

With numerous new technology options available for data analytics, more companies are looking at the need to upgrade outdated and restrictive platforms—both hardware and software. They see the opportunity to create state-of-the-art capabilities using increasingly viable options in cloud technology, big data analytics, data storage and reporting tools.


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Automate Business Analytics to Boost Sales and Marketing ROI, ASAP

Posted by Maria Kliatchko on Mon, Sep 23, 2013

A sales rep’s regularly scheduled appointments are interrupted by an alert on his smartphone or iPad. A nearby practice serving a large patient population recently enrolled in a regional health-care plan. In short order, he receives a Google map to that office, details about the practice, as well as patient and physician characteristics, and reminders of key brand, payer and compliance messages. The rep arrives at the unplanned call fully prepared to present his therapies.

This scenario is just one example of how pharma company IT departments can combine Big Data, predictive analytics, technological mobility and social media to accelerate the pace at which sales and marketing teams make the best decisions possible.


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