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The Problem
Financial services firms lose an estimated
$20 billion annually to fraud. How can this
industry leverage big data — and the data
science team — to help manage risk and
deter fraud in the future?

GO

BIG

INSIGHT
An enormous amount of valuable information is out there— waiting
to be transformed into mission-driving insights. But to excavate
those insights, we must first assemble the right data science team.

Domain
Specialists:
Finance
Computer
Scientists

Mathematicians
& Statisticians

The right data science teams blend the technical expertise of
computer scientists and mathematicians and statisticians with a
critically-important, but overlooked, element— domain knowledge.
The result: organizational collaboration and vision into the most
important business problems or trends that data can reveal.

DA B U I
UR AM
TA L D Y O E
SCIENCE T
Apply the Scientific Method
& New Technologies

Diversity of Data

The scientific method— observe, question,
hypothesize, test, and analyze — is the
foundation of an emerging discipline —
data science— to create value from data.
This analysis and creativity is ultimately
enabled by the team’s ability to rely on
elements of machine learning and statistics
to search the data, empowering the data
science team to interpret the results.

SI

GH

T

The ability to fuse disparate, seemingly
unrelated data— like financial transaction
information, payment records and exchange
rates — can produce an entirely new level
of insight and direction.

Insight

IN
MINE FOR

Two-Way Bridge

Rotating the team’s domain
specialists every six to nine months
builds a stronger understanding of
the mission organization-wide.

Organization

END

Big Insight
The data science team — particularly
the domain experts, because of their
versatile skill-set, plays a pivotal role
in translating the unlocked insight into
actionable intelligence for smarter,
data-driven decision making.

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Booz Allen Hamilton's Data Science Infographic

  • 1. The Problem Financial services firms lose an estimated $20 billion annually to fraud. How can this industry leverage big data — and the data science team — to help manage risk and deter fraud in the future? GO BIG INSIGHT An enormous amount of valuable information is out there— waiting to be transformed into mission-driving insights. But to excavate those insights, we must first assemble the right data science team. Domain Specialists: Finance Computer Scientists Mathematicians & Statisticians The right data science teams blend the technical expertise of computer scientists and mathematicians and statisticians with a critically-important, but overlooked, element— domain knowledge. The result: organizational collaboration and vision into the most important business problems or trends that data can reveal. DA B U I UR AM TA L D Y O E SCIENCE T Apply the Scientific Method & New Technologies Diversity of Data The scientific method— observe, question, hypothesize, test, and analyze — is the foundation of an emerging discipline — data science— to create value from data. This analysis and creativity is ultimately enabled by the team’s ability to rely on elements of machine learning and statistics to search the data, empowering the data science team to interpret the results. SI GH T The ability to fuse disparate, seemingly unrelated data— like financial transaction information, payment records and exchange rates — can produce an entirely new level of insight and direction. Insight IN MINE FOR Two-Way Bridge Rotating the team’s domain specialists every six to nine months builds a stronger understanding of the mission organization-wide. Organization END Big Insight The data science team — particularly the domain experts, because of their versatile skill-set, plays a pivotal role in translating the unlocked insight into actionable intelligence for smarter, data-driven decision making.