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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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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DNA-Based Data Is a Hot Commodity, and Pharma Is Buying

Posted by ZS Editors on Wed, Aug 01, 2018

As the pharmaceutical industry continues along the path to precision medicine, drug discovery efforts are just one aspect of the business that increasingly will be fueled by data. A flurry of deals, including GlaxoSmithKline’s $300-million, four-year investment in 23andMe, gives us a window into how pharma companies are forming partnerships and striking deals to tap into stores of data to identify new R&D targets and fill clinical trials.


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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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