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The Active Ingredient features expert insights and commentary from leaders of ZS Associates' global pharmaceuticals practice.

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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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Topics: predictive analytics, Analytics, pharmaceuticals, change management, data analytics, pharma companies, artificial intelligence & pharma, cutting-edge analytics, technology investment, advanced analytics, personalized analytics, analytics maturity

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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Topics: Analytics, artificial intelligence, AI, data and analytics, analytics disruption, commercial analytics, artificial intelligence & pharma, cutting-edge analytics, advanced analytics, personalized analytics, analytics maturity, pharma commercial model

What Does a Good Forecasting Platform Look Like?

Posted by Matt Wills on Wed, Oct 03, 2018

This post is the third in a four-part series on how pharmaceutical companies can elevate their forecasting operations. To learn more about next-generation analytics in forecasting, check out Matt’s session at the ZS Impact Summit, held Nov. 6-7 in Chicago.

Advances in data availability and the technology needed to harness that data have led many to ask how new technology could be used to implement advanced forecasting platforms for regional or global use. These platforms are typically software that sits online to enhance a forecasting process, whether specific to a country or used globally. Often, these questions are focused on increasing the efficiency of the existing forecasting team. While increasing the efficiency is important, it typically doesn’t generate enough organizational impact relative to the investment required to build and maintain a sophisticated piece of software. Platforms should strive to enable better decisions faster and more broadly than just reducing forecaster effort.

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Topics: forecasting, Pharma, Life Sciences, Analytics, forecasting in pharma, pharma marketers, forecasting platforms, Impact Summit 2018

How Cloud Tech Has Leveled the Pharma Field

Posted by Kapil Nayyar on Thu, Aug 23, 2018

A new business entering the competitive pharmaceuticals market faces a steep climb, so any innovation capable of creating a handhold is highly valuable. The evolution of cloud computing technology over the past decade has been a particularly favorable development for startups, offering them essential resources and capabilities that might otherwise be cost prohibitive. At a high level, cloud tech encompasses several benefits:

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Topics: Big Pharma, Analytics, artificial intelligence, machine learning, pharma companies, REVO, cloud technology, Intercept Pharmaceuticals

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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Topics: technology, customers, customer centricity, Analytics, data science, customer journey, insights, marketing automation tools, machine learning, pharma marketing, data and analytics, orchestrated marketing, trigger marketing, tactic-based marketing, customer-centric pharma organizations

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