Want Reliable Advice? Consider Machines

Posted by Arun Shastri on Mon, Jun 17, 2019

An old story about Jeff Bezos that I read years ago resurfaced in my memory when I learned that Amazon just abruptly changed course and decided to shutter its restaurant delivery business. According to the teller of this tale, Bezos once visited Basecamp to give a talk and take questions from employees there. At one point, Bezos described the kind of people who are “right a lot.” The smartest people, he said, are always revising their thinking. They might think one thing today that they’ll readily contradict tomorrow because they have new data to support a new opinion.

Other luminaries have shared this opinion. Science fiction author Vernor Vinge, in his book Fire Upon the Deep, wrote “Intelligence is the handmaiden of flexibility and change.” Salesforce CEO Marc Benioff was quoted as saying, “You must always be able to predict what's next and then have the flexibility to evolve.”

I wholeheartedly agree with this line of reasoning, and I see direct connections to machine learning.


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A Panel of Experts Talk MDM in Healthcare: Three Takeaways

Posted by Ankit Jain on Mon, Jun 10, 2019

The potential of digital transformation is being realized across industries. In healthcare, advanced analytics has streamlined processes, sped up research and promises to drive better health outcomes. But advanced analytics are nothing without data, and unless you can break down data siloes across the enterprise and merge critical data into a single source of truth (otherwise known as master data management, or MDM), then your data will be insufficient to drive this kind of transformation.

I recently participated in a panel discussion for Informatica World 2019 with representatives from Intermountain Health and The American Cancer Society. We discussed MDM’s role in healthcare as a driver of digital transformation.

After reflecting on the conversation, I took three things away from the event:


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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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