AI & Analytics Consumption: Insights on Demand

Posted by Arun Shastri on Wed, Oct 02, 2019

This blog post is the fifth in a series on the impact that AI will have on different business aspects of pharma.

The past few years have seen an explosion of data, and with it, the need to make use of it. Gathering and stitching together internal and external data sources presents one set of challenges, but what about the analysts who struggle to leverage all of this data? How can they keep up with increasing demands for data-driven insights from the entire organization? How can we empower the whole organization to have access to these critical insights? Here’s a hint: AI is part of the solution.


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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 Death of Dashboards, and the Promise of Personalized Analytics

Posted by ZS Editors on Mon, Jan 07, 2019

Multiple factors are colliding to encourage the need for personalized analytics. The ever-expanding explosion of data is forcing companies to consider more nimble, automated solutions that simplify the user experience. The need for competitive advantage in a crowded marketplace is inspiring companies to arm reps with sales tools that give them an edge. Reps are increasingly expecting the kind of user experience that they get from consumer applications. The list goes on.

Personalization conjures a future where reps are no longer bombarded with information and expected to draw their own insights. In this future, AI-driven insights come to them as alerts on their mobile devices, personalized to their needs and customers, and delivered at the best possible time. 

But this is pharma. Surely the spreadsheets and dashboards will persist, right?


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Making the Case for a New Analytics Consumption Model

Posted by ZS Editors on Thu, Nov 29, 2018

Industries like retail and technology are transitioning to an AI-driven, personalized approach to surfacing insights to end users, and they’re reaping the benefits. Life sciences companies have the same opportunity to capitalize on the runaway growth in data and rethink the way that analytics are consumed.  

ZS recently partnered with IDC to study how commercial life sciences teams are currently consuming data, and to determine their data and analytics pain points. The study revealed that sales and marketing professionals in life sciences want


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