In Large-Scale Technology Delivery, Success Depends on Effective Program Management

Posted by Nikhil Bhilegaonkar on Fri, Feb 07, 2020

Kerry Quinn co-wrote this blog post with Nikhil Bhilegaonkar

In this age of digitally driven capabilities and business models, organizations are under constant pressure to evolve to the rhythm of changing technologies. The shift from legacy systems to advanced ones is an uphill task. Not only is it technically complex, but it's also daunting to ensure that evolving technology continues to meet the objectives of the business. Add to that the ever-increasing complexity of data management and the need to stay current with an evolving technology ecosystem, and you’ve got yourself an Everest to climb. Surely, the climb isn’t impossible, but many companies fail to reach the summit, and many of those that do, fall short of the desired business value.


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To Succeed With Offshoring, Deal With the Human Side of Change

Posted by Rajat Jain on Tue, Oct 29, 2019

Brian LeFebvre co-wrote this post with Rajat Jain.

Offshoring has become very common, either with an external partner, or with companies setting up their fully owned capability. While offshoring provides several benefits, the most common has been cost containment. Most enterprises don’t realize offshoring’s full potential, however, and it’s usually because of human, not practical challenges. Shifting a company’s capabilities to another location and culture is a major transformation. Preparing a business to deal with any transformation requires a deliberate change management process that directly addresses the emotions involved. Following are some aspects to consider for a successful onshore-offshore working model.


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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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Pharma’s Commercial Resource Redesign: Managing Timelines and Expectations

Posted by Pratap Khedkar on Wed, Dec 05, 2018

This is the final post in a three-part series on commercial resource planning.

As pharma companies begin to think about reorganizing and deploying their commercial resources to better align with changing customers and an evolving healthcare landscape, their strategy for transforming commercial resource planning can’t be piecemeal, but their approach to implementing the change likely should be. It’s going to take time to develop the right customized approach to suit your company’s specific needs and challenges, and to get buy-in. Data and technology will carry some of the weight, as will coordinating internal processes and roles, and adopting an on-demand, customer-specific mindset.


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From BI to AI: Getting Started With Advanced Analytics

Posted by Niroop Singh on Thu, Nov 01, 2018

Pharmaceutical companies are making big investments in analytics ecosystems, but not without some disappointment in terms of ROI. Because investments are typically limited to people or technology in isolation, companies can’t deliver the kind of value that makes such programs worthwhile. At the same time, cost pressures mean that analytics and data management groups have to deliver more with less. Executives who sponsor such programs also need to be very clear on how to define the success of such initiatives. Creating hundreds of new reports does not equal success. To give your analysts the advanced tools that they need to truly succeed, you need the right combination of people, data processes and technology to get the most out of your advanced analytics investment.

What should my team look like? What kind of processes do I need to support an advanced analytics capability? What kind of technology? These are great questions to ask at the outset, and here are some answers:


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