Visual. Dynamic. Flexible. The ability to make intelligent business and clinical decisions faster is what life sciences companies want from business intelligence (BI) solutions. That's why pharmaceuticals, medical device companies, and CROs use data visualization technologies that work with a multitude of data sources across various organizational departments. In our webinar, Perficient’s Andre Serafini, Senior Solutions Architect, discussed how you, too, can leverage analytics and reporting applications to support your BI needs. He used a cutting edge BI tool to perform several live demonstrations of real-life applications in the life sciences industry. See how interactive, real-time BI and analytics on Big Data can be a valuable asset for your organization’s clinical, pharmacovigilance, and sales operations.

1. INTERACTIVE BUSINESS INTELLIGENCE FOR BIG
DATA IN LIFE SCIENCES

2. 2
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.

3. 3
PERFICIENT PROFILE
Founded 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

4. 4
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.

5. 5
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

6. 6
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

7. 7
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

8. 8
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

9. 9
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

10. 10
IMPROVING LONG-TERM ACCESS TO BIOMEDICAL DATA
How can long-term access
to biomedical data that are
vital for research be
improved?
“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

11. 11
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

12. 12
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

13. 13

14. 14
THE FOURTH INDUSTRIAL REVOLUTION
Internet of Things (IoT)
Digital Transformation
Big Data
Data Science
Machine Learning
Artificial Intelligence

15. 15
DIGITAL TRANSFORMATION

16. 16
DEMONSTRATION

17. 17
SHOW ME
THE 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

18. 18
INTERACTIVE BI ON BIG DATA – PART I
Interactive BI on Big Data with TABLEAU
http://tableau.jethrodata.com/
Interactive BI on Big Data with QLIK
http://jethrodata.qlik.com
ALL the data, ALL the time… at the speed of thought.

19. 19
CRUNCH THOSE NUMBERS
Make sure you have a comprehensive
solution that meets all your needs.
• Crunch the numbers
• Show the numbers
• Integrate your solution

20. 20
INTERACTIVE BI ON BIG DATA – PART II

21. 21
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?

22. 22
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.”

23. 23
QUESTIONS

24. 24
FOLLOW US ONLINE
• Perficient.com/SocialMedia
• Facebook.com/Perficient
• Twitter.com/Perficient_LS
• Blogs.perficient.com/LifeSciences
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