INTERACTIVE BUSINESS INTELLIGENCE FOR BIG

DATA IN LIFE SCIENCES

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ABOUT PERFICIENT

Perficient is the leading digital transformation

consulting firm serving Global 2000 and enterprise

customers throughout North America.

With unparalleled information technology, management consulting,

and creative capabilities, Perficient delivers vision, execution, and

value with outstanding digital experience, business optimization,

and industry solutions.

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PERFICIENT PROFILEFounded in 1997

Public, NASDAQ: PRFT

2015 revenue ~$473 million

Major market locations:

Allentown, Atlanta, Ann Arbor, Boston, Charlotte, Chattanooga,

Chicago, Cincinnati, Columbus, Dallas, Denver, Detroit, Fairfax,

Houston, Indianapolis, Lafayette, Milwaukee, Minneapolis,

New York City, Northern California, Oxford (UK), Southern California,

St. Louis, Toronto

Global delivery centers in China and India

>2,800 colleagues

Dedicated solution practices

~90% repeat business rate

Alliance partnerships with major technology vendors

Multiple vendor/industry technology and growth awards

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WELCOME & INTRODUCTION

Andre Serafini

Senior Solutions Architect

Search and Knowledge Discovery, Perficient

Deep expertise in advanced analytics, business intelligence, Big Data and data

science. Currently working on the convergence and integration of the Internet of

Things (IoT) to improve overall business value.

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AGENDA

• Big Data in Life Sciences

• Scientific, engineering and institutional challenges

• Improving long-term access to biomedical data

• Using clinical trial results and patients’ health records

• Big Data into point-of-care health-care delivery

• How ‘Interactive BI on Big Data’ can help

• The fourth industrial revolution is here

• Q&A

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WHY INTERACTIVE BI FOR BIG DATA IN LIFE SCIENCE

“Advances in sequencing technology have

triggered a tsunami of genomic data, and

these are joined by waves of information

from other '-omics' studies, clinical trials and

patient records. Analysis of this big data is

launching the era of precision medicine —

but enormous scientific, engineering and

institutional challenges remain.”

NatureOUTLOOK Vol. 527

No. 7576_supp ppS1-S19

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GENOME SEQUENCING AS ROUTINE CLINICAL CARE

“Fifteen years ago, it was a landmark

achievement. Ten years ago, it was an

intriguing but highly expensive research

tool. Now, falling costs, soaring accuracy

and a steadily expanding base of scientific

knowledge have brought genome

sequencing to the cusp of routine clinical

care.”

Nature, 2015

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PRECISION MEDICINE IS HERE

“A growing number of institutions are

conducting genome-wide ‘dragnet’

searches to identify the mutations

responsible for rare diseases. Genomic

variants can also reveal ‘driver’

mutations that might reveal a tumor’s

therapeutic vulnerabilities, or provide

clues to whether a specific individual

may or may not respond to a drug —

the drug’s ‘pharmacogenetic’

properties.”

Nature, 2015

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MAKE IT HAPPEN

“Drug companies are facing complex choices. Many are opting to treat cancer, a main thrust

in national programs such as the UK 100,000 Genomes Project. And some of these

therapies are already changing clinical practice.”Nature, 2015

“Perhaps the most promising product of

big data, that labs will be able to explore

countless and unimagined hypotheses, will

be stymied if we lack the bioinformaticians

that can make this happen.”

Jeffrey Chang, University of Texas

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IMPROVING LONG-TERM ACCESS TO BIOMEDICAL DATA

How can long-term access to biomedical data that are vital for research beimproved?

“Our mission is to use data science to foster an open digital ecosystem that will accelerate efficient, cost-effective biomedical research to enhance health, lengthen life and reduce illness and disability.”

Philip Bourne, US National Institutes of Health

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USING CLINICAL TRIAL RESULTS, PATIENTS’ HEALTH RECORDS

How can the barriers to using clinical trial results and patients’ health records for research be lowered?

“There’s a lot of genetic information that no one understands yet, so is it okay or safe or right to put that in the hands of a patient? The flip side is: it’s my information — if I want it, I should get it.”

Megan O’Boyle, Phelan-McDermid Syndrome Foundation

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BIG DATA INTO POINT-OF-CARE HEALTHCARE DELIVERY

How can knowledge from Big Data be brought into point-of-care health-care delivery?

“Developing a standard interface for innovators to access the information in electronic health records will connect the point of care to big data and the full power of the web, spawning an ‘app store’ for health.”

Kenneth Mandl, Harvard Medical School

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THE FOURTH INDUSTRIAL REVOLUTION

Internet of Things (IoT)

Digital Transformation

Big Data

Data Science

Machine Learning

Artificial Intelligence

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DIGITAL TRANSFORMATION

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DEMONSTRATION

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SHOW METHE NUMBERS

“The commonality between science and art is in trying to see

profoundly - to develop strategies of seeing and showing.”

– Edward Tufte

“Beautiful Evidence is about the theory and practice of analytical

design.”

– Tufte

“The idea of trying to create things that last - forever knowledge -

has guided my work for a long time now.”

– Tufte

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INTERACTIVE BI ON BIG DATA – PART I

Interactive BI on Big Data with TABLEAUhttp://tableau.jethrodata.com/

Interactive BI on Big Data with QLIKhttp://jethrodata.qlik.com

ALL the data, ALL the time… at the speed of thought.

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CRUNCH THOSE NUMBERS

Make sure you have a comprehensive

solution that meets all your needs.

• Crunch the numbers

• Show the numbers

• Integrate your solution

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INTERACTIVE BI ON BIG DATA – PART II

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THE BIG PICTURE

What is the maturity level of your organization?

What maturity model should you use?

How can you balance analytic insight with the

ability of your organization to make use of the

analysis?

Can you link analysis to business

outcomes through benefits mapping?

Before investing in advanced analytics,

have you considered alternative

approaches to reaching the same goal?

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MAKE THE RIGHT CALL: ADAPT TO SURVIVE

“It is not the strongest of the species that survives, nor the most intelligent

that survives. It is the one that is most adaptable to change.”

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QUESTIONS

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Next up:

February 18, 2016

Interactive Business Intelligence for

Big Data in Life Sciences http://www2.perficient.com/webinar/Interactive-

Business-Intelligence-for-Big-Data-in-Life-Sciences