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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 Pharma Can Thrive in an Analytics-Enabled Healthcare World

Posted by Dharmendra Sahay on Mon, Dec 11, 2017

Rohan Fernando co-wrote this blog post with Dharmendra Sahay.

Through data and analytics, healthcare is on the verge of a transformation, one that will change the way that providers, payers and pharmaceutical manufacturers help people manage wellness. The various players in today’s healthcare ecosystem are racing time—and each other—to collect and control patient information, all in the name of making quicker, more effective decisions and optimizing outcomes.

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Topics: big data, Pharma, Analytics, centralization, healthcare ecosystem, Customer Expectations, personalized medicine, artificial intelligence, machine learning, wellness

The Death of the Data Warehouse

Posted by ZS Editors on Thu, Sep 28, 2017

Traditional data warehouses have limited utility in today’s healthcare ecosystem because they often can’t process the types of unstructured data that give pharmaceutical organizations a competitive edge. Rigid data storage systems and old-school modeling no longer cut it. Pharmaceutical firms need a modern data infrastructure that’s capable of handling structured and unstructured data, sufficiently scalable and technologically able to support advanced analytics, resulting in actionable insights that can enable commercial teams to make data-driven decisions in real time. 

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Topics: big data, sales force effectiveness, Pharma, Analytics, Sales operations, data warehouses, insights, sales enablement, machine learning, Impact Summit, Impact Summit 2017

Data Analytics Give Oncology Products Competitive Edge

Posted by Maria Whitman on Tue, Mar 24, 2015

Recent launches have proven that having a great product isn’t enough. To succeed in the oncology market, pharmaceutical and biotech companies must be able to understand performance and opportunities, and explain the difference for increasingly specific patient populations. Data has come a long way, and integrated data analytics is a powerful way to surface and interpret an oncology product’s opportunity amid brutal competition.

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Topics: big data, data management, oncology, Analytics, Maria Whitman

Big Data Delivers Insights, but Can Your Sales Planners React in Real Time?

Posted by Maria Kliatchko on Thu, Oct 09, 2014

(This blog series introduces emerging trends in sales planning that every commercial operations department must prepare to face in the future.)

Embracing Big Data and unlocking its power with analytics will only take you so far. What happens when months are required to use those insights or react productively? The true endgame involves both systems and internal processes evolving into real-time resource and activity reallocation.

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Topics: big data, sales, call planning, territory management, commercial operations, Maria Kliatchko, Sales Planning, Life Sciences, Analytics

How Advanced Analytics Are Inspiring Life Science Sales Planning

Posted by Maria Kliatchko on Mon, Oct 06, 2014

(This blog series introduces emerging trends in sales planning that every commercial operations department must prepare to face in the future.)

Previously, we explored how new and emerging sources of data offer a rich opportunity for life science organizations, specifically how unstructured data will support answers to some currently intractable questions for sales planning. All of that data, however, can be meaningless without the appropriate analytical tools.

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Topics: big data, sales, call planning, territory management, commercial operations, Maria Kliatchko, Sales Planning, Life Sciences, Analytics

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