By Guy LeFever, Nitesh Dixit, Steve Figman, and Donte London

Powerful forces are impelling Life Sciences firms towards the digital

business future.

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Increased competition, continual regulatory and reimbursement

challenges and a focus on real-world-outcomes is rapidly becoming the

new center of gravity, pushing Life Sciences firms towards

environments that need to be more agile, scalable, and digitally-

enabled. This future will require new engagement platforms, patient

outcomes management and associated reimbursement models.

The competitive landscape continues to shift, as new entrants and

asymmetric competition impact the ecosystem. New digital

technologies– such as eHealth, miniature diagnostics, the Internet of

Things (IOT), and digital therapies – are forcing firms to rethink their

business and operating models. Those same forces are enticing new

players into the marketplace, as companies with limited Life Sciences

backgrounds leverage digital platforms to deploy new products and

services. In Life Sciences, Agro Sciences and other adjacent sectors, we

anticipate continued merger and acquisition activities; as organizations

seek to quickly gain competitive advantages or to shed non-strategic

assets.

Forward-looking Life Sciences companies recognize the need for digital

transformation. The question now is: how best to make that transitional

journey?

One of the major digital technologies driving our client’s digital

roadmaps is Advanced Analytics, which will continue its growth and

increased importance for the Life Sciences industry. There has been a

significant increase in the use of Advanced Analytics in R&D, Clinical

Development, Manufacturing, Supply Chain, Sales and Marketing. A

deeper look into the R&D and Clinical Development uses of Big Data,

reveals a need to focus on predictive and prescriptive analytics as part

of the complete business framework. Some of the key applications of

Advanced Analytics within the R&D and Clinical Development are listed

below:

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Management, Return

Rate Reduction

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of Data, Drive Positive

Disruption

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22

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To drive sustained success across the R&D portfolio, implementation of

an advanced suite of analytics is recommended. This includes:

Establish an analytics culture within the R&D enterprise.

Build a R&D Analytics Life Sciences Data Hub.

Partner with an external network of data organizations and outsideexpertise.

Experiment with a Data Science Lab, integrating agile Test andLearn Methods (AI, Machine Learning a.o.)

Leverage cloud and managed analytics to add velocity to thedevelopment cycle

Hewlett Packard Enterprise Services has partnered with multiple Life

Sciences companies developing their Analytics Strategy and associated

Reference Architecture building a transformational roadmap that

moves your organization at the faster pace of the digital economy.

From collaborative insights to more intimate patient engagements,

systems that enable a more agile future, whether that means cognitive

solutions for submission management or an analytics-based model for

creating new therapies and diversifying portfolios.

Success depends on hybrid platforms capable of reducing costs while

driving innovation across lines of business and throughout global value

chains. In this emerging landscape, understanding digital business –

what it is, what it can do, and how to build one – will be the insight that

separates the winners from the also rans.

About the Authors

Guy LeFever, Vice President, Global

Industry Leader. With more than 25 years

of Life Sciences industry experienced,

Guy is a recognized IT and industry

expert and thought leader. He specializes

in supporting HLS organizations define

their strategic direction and to transform

their business and processes.

Nitesh Dixit, Industry Analyst. Nitesh

Dixit is an Industry Analyst with HPE

Enterprise Services Life Sciences Practice.

He brings about 10 years of Life Sciences

IT, BPS Solutions, Business Development

and Consulting experience across the

globe. Nitesh is a Registered Pharmacist

from India and holds a Master’s degree in

Health Administration from the University of TISS.

Steve Figman, Chief Strategist. Steve

Figman is the chief strategist for the HPE

Life Sciences Center of Excellence. He

focuses on identifying, recommending,

and facilitating decision-making for

enterprise-wide growth, transformational

vision, and leadership strategies. Through

his 20+ years in healthcare and

pharmaceutical business leadership roles, he has experienced

significant success fueling growth and profitability for many

industry-leading organizations.

Donte London, Solution Principal. Donte

London is a Solutions Principal within the

HPE Enterprise Services Analytics

practice. He is a very accomplished

technologist and advisory expert with

nearly three decades of experience

designing successful data analytics

applications and data-driven technology

platforms that deliver improved clinical outcomes while reducing

overall health-related costs.

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