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Mathematicians 
& Statisticians 
Computer 
Scientists 
Domain 
Specialists: 
Finance 
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. 
Big Insight 
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. 
Apply the Scientific Method 
& New Technologies 
GO 
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. 
Two-Way Bridge 
Rotating the team’s domain 
specialists every six to nine months 
builds a stronger understanding of 
the mission organization-wide. 
Diversity of Data 
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. 
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. 
BIG 
INSIGHT 
BUILD YOUR 
DATA SCIENCE TEAM 
MINE FOR INSIGHT 
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? 
The Problem 
Insight 
Organization END

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  • 1. Mathematicians & Statisticians Computer Scientists Domain Specialists: Finance 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. Big Insight 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. Apply the Scientific Method & New Technologies GO 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. Two-Way Bridge Rotating the team’s domain specialists every six to nine months builds a stronger understanding of the mission organization-wide. Diversity of Data 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. 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. BIG INSIGHT BUILD YOUR DATA SCIENCE TEAM MINE FOR INSIGHT 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? The Problem Insight Organization END