How the Right RWE Platform Serves Up the Ingredients for Innovation

Posted by ZS Editors on Tue, Sep 04, 2018

Many pharmaceutical companies have realized the benefits of moving from standalone real-world data (RWD) projects to full-fledged, cross-functional real-world evidence (RWE) capabilities to drive everything from their R&D programs to their commercial teams’ efforts to demonstrate value—and technology is central to their success. “Real-world evidence is essentially extracting intelligence out of real-world data, and now that we have the right technology, scalable cloud storage and tremendous processing power, we’re actually able to sift through big data to find those insights,” says Abhay Jha, a principal at ZS and the business technology lead in the firm’s R&D excellence practice.  


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Pharma Is Ready for Personalized Analytics

Posted by Jérôme Chabrillat on Mon, Jun 04, 2018

A sales rep preparing for her week isn’t thinking: What’s in my sales dashboard? What is my progress towards my call plan? She’s thinking: What are the burning issues in my territory this week? How should I adjust my plan based on the latest events and information that I have? Then she manually navigates her way through dashboards and reports to find these answers.

This slow, manual process isn’t unique to reps. It also applies to HQ functions, and it will only get more difficult over time as new data become available. Accessing the right information at the right time and in the right way is critical to more effective decisions and efficient execution. User-centered design, technology and artificial intelligence can transform this experience with personalized analytics.


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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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Five Critical Steps for Successfully Leveraging AI

Posted by Arun Shastri on Fri, Apr 27, 2018

Dharmendra Sahay co-wrote this blog post with Arun Shastri.

This post is the first in a two-part series.

In a few days, we’ll be presenting our thoughts on how to create impact with artificial intelligence at the 2018 PMSA Annual Conference. We’ll talk about how AI is being used in life sciences and how AI could be used, and we’ll bust some myths. We’ll also share detailed advice on how to start or expand an AI capability at your organization, which includes these five critical steps:


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The Next Challenge in Realizing Customer Centricity

Posted by Pete Mehr on Tue, Apr 03, 2018

This post is the first in a three-part series on how pharma companies can achieve customer centricity.

“I know what to do, I just can’t do it.” 

Sound familiar? Most life sciences companies have made, and continue to make, significant investments in digital promotion tactics, digital data, cloud-based customer databases, machine learning and artificial intelligence. These investments have enabled companies to capture more customer information, develop new and better insights into customer preferences, and obtain these insights faster than ever before. These new capabilities enable life sciences companies to take actions to better meet customer needs, delivering content via tactics at the optimal time. 


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