The Briefing Room with Neil Raden and Actian Live Webcast Sept. 3, 2013 Visit: www.insideanalysis.com Respected research institutes keep saying we have a shortage of data scientists, which makes sense because the title is so new. But most business analysts and serious data managers have at least some of the necessary training to fill this new role. And any number of curious, diligent professionals can learn how to be a data scientist, if they can get access to the right tools and education. Register for this episode of The Briefing Room to hear veteran Analyst Neil Raden of Hired Brains offer insights about how to identify the key characteristics of a data scientist role. He'll then explain how professionals can incrementally improve their data science skills. He'll be briefed by John Santaferraro of Actian, who will showcase his company's Data Flow Engine, which provides unprecedented visual access to highly complex data flows. This, coupled with Actian's multiple analytics database technologies, opens the door to whole new avenues of possible insights.

1. The Briefing Room
How to Identify, Train or Become a Data Scientist

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Welcome
Host:
Eric Kavanagh
eric.kavanagh@bloorgroup.com

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! Reveal the essential characteristics of enterprise software,
good and bad
! Provide a forum for detailed analysis of today s innovative
technologies
! Give vendors a chance to explain their product to savvy
analysts
! Allow audience members to pose serious questions... and get
answers!
Mission

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Topics
This Month: ANALYTICS
October: DATA PROCESSING
November: DATA DISCOVERY &
VISUALIZATION

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Analytics

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Analyst: Neil Raden
Neil Raden is the founder and Principal Analyst
at Hired Brains Research. He is the co-author,
with James Taylor, of “Smart (Enough) Systems:
How To Deliver Competitive Advantage by
Automating Hidden Decisions.” With 30 years
experience, he is a widely published writer,
well-known speaker, analyst and consultant,
having personally designed and implemented
dozens of large analytical applications in
finance, marketing, distribution, logistics,
actuarial, intelligence, scientific, statistical and
consumer products. As an industry analyst, he
has published over 40 white papers, hundreds of
articles, blogs and research reports. He
welcomes your comments and can be reached
at nraden@hiredbrains.com.

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Actian
! Actian is a database and software development company
! Actian offers the ParAccel DataFlow Engine, a scalable
parallel platform which provides visual access to complex
data flows
! The DataFlow Engine is designed to reduce cluster
complexity, manage multi-petabytes of data, and scale with
the size and dimensionality of the data

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Guest: John Santaferraro
John Santaferraro is the Vice President of Product
Marketing at Actian. Prior to joining Actian, Santaferraro
was an independent industry analyst in the business
intelligence and analytics market. Before that he
developed and executed a vertical market strategy for
Hewlett Packard's BI group, focusing on energy,
communications, retail, healthcare and financial services;
he was also instrumental in helping establish HP’s new BI
business group with a combination of solutions, products
and consulting. In 2000, John founded a marketing and
sales consulting company, Ferraro Consulting, providing
business acceleration strategy for technology companies.

9. Enabling the Business Scientist
John Santaferraro
Vice President of Marketing, ParAccel Platform Group
September 3, 2013

10. What is a “business scientist”?
Requirements of a “business
scientist”
Tools of a “business scientist”
Creating a culture of “business
science”
10© 2013 Actian Corporation

11. The “Moneyball” Effect
§ Analytics Go Mainstream
• Major League Baseball
§ Hire the best team
• NSA and Big Data
§ ???????????????
• Target and Pregnancy
§ Predicting pregnancies
11© 2013 Actian Corporation

12. What is a Data Scientist?
12© 2013 Actian Corporation

13. A data scientist “…incorporates
varying elements and builds on
techniques and theories from
many fields, including
mathematics, statistics, data
engineering, pattern recognition
and learning, advanced
computing, visualization,
uncertainty modeling, data
warehousing, and high
performance computing with the
goal of extracting meaning from
data and creating data
products.”
13
What is a Data Scientist?
© 2013 Actian Corporation
Created by Calvin Andrus, depicts a mash-up of
disciplines from which Data Science is derived, 13 July
2012
http://en.wikipedia.org/wiki/Data_science

14. What is a Business Scientist?
“A business scientist is an expert in the
science of business, sitting between the
business analyst and the data scientist,
pulling together cross-functional expertise
from data science, analytics, business
applications, business processes, and
business strategy.
14© 2013 Actian Corporation

15. Business Science Practice Areas
Business
Science
Sales
Marketing
Supply
Chain
Logistics
Finance
Human
Resource
Risk
Fraud
15© 2013 Actian Corporation

16. Business Science Skillset
Understand How Analytics Work
Understand Emerging Data Types
Understand Business Operations & Strategy
Learn Quickly
Think Outside the Box
Tell Compelling Stories
16© 2013 Actian Corporation

17. § Libraries of Analytic
Functions Run at Extreme
Speed
• Transformational Analytics
• Statistical Analytics
• Machine Learning Analytics
• Clustering Analytics
• Discovery Analytics
§ Visual Framework for Data
Discovery, Preparation and
Analytics
• Drag and Drop Interaction
• Libraries of Data Preparation
Operators
• Libraries of Analytic Operators
• High-Performance, Parallel
Processing on Hadoop (or
other file systems)
17
The Tools of the Business Scientist
© 2013 Actian Corporation

18. ParAccel Platform – Unconstrained Analytics
Business
Intelligence
and
Repor3ng
Tools
Advanced
Analy3cs
Analy3c
Applica3ons
Machine
Data
Opera3onal
Data
3rd
Party
Info
Provider
Streaming
Data
Logs
On-­‐Demand
Integra3on
On
Demand
Integra3on
Services
Enterprise
Data
Warehouse
Hadoop
Big
Data
Apps
Embedded
Analy3cs
18© 2013 Actian Corporation
In-­‐Database
Analy3cs

19. Accelerate Time to Value with
Libraries of Analytic Functions
Corporate FinanceStatistical • Standard Deviation
• Correlation
• Covariance, etc.
• Present Value Analysis
• Stock Valuation
• Asset Valuation, etc.
Options /
Derivatives
Univariate • Gamma distribution
• Maxwell distribution
• Weibull, etc.
• Risk neutral valuation
(with/without Black-
Scholes)
• Greeks, etc.
Portfolio
Management
Multivariate • Normal Copula
• Hypothesis Testing
• Gumbel Copula, etc.
• Currency / Cross-currency
derivatives
• Merton Models, etc.
Fixed IncomeData Mining • K-Means
• Logistic Regression,
• Neural Networks, etc.
• Price and Yield
• Duration
• Convexity, etc.
Time Series
Analysis
Mathematical • Trigonometric
• Permutation / Combination
• Exponential / Logarithm, etc.
• ARMA / ARIMA models
• ARCH/GRACH model
• Regime Switch, etc.
u 100+ pre-loaded SQL, windows, and mathematical functions pre-loaded
u 500+ advanced analytics available for purchase
© 2013 Actian Corporation

20. Business Analyst to Business Scientist
20© 2013 Actian Corporation
Unconstrained Analytics
Load and Go
Run Ad Hoc Queries
Query Any Time
Query Any Data
Query All Data
Run Any Analytics
Execute Sophisticated Analytics
Return Results Quickly
Iterate Quickly Through Discovery
Share Workloads With Any Platform
Support All Analysts
Run Many Applications
Create Analytic Services

21. ParAccel Dataflow & Hadoop Analytics
21
› On-demand
integration
› Data and
Application
Integration
› In-flight
preparation
› In-Hadoop
preparation
› Dataflow
optimizations
› Hadoop
optimizations
› In-Hadoop
analytics
› Non-Hadoop
analytics
Business Intelligence
Analytics
Enterprise
Social
New Data
Applications DW
www Mobile
Machine
Data
High-Performance BI
High-Performance
Analytics
Connect Prepare AnalyzeOptimize
DATA VALUE
A visual framework for high-performance, data provisioning, ETL, and
analytics on Hadoop (or other file systems) without any knowledge of
MapReduce or parallel programming
© 2013 Actian Corporation

22. ParAccel Dataflow – Designer
§ Single UI for Data Preparation and Advanced Analytics
22© 2013 Actian Corporation

23. Dataflow Operator Libraries
© 2013 Actian Corporation 23

24. HDFS
ParAccel Platform in Action
24© 2013 Actian Corporation
ParAccel
PlaEorm
Read Write Prepare Analyze Read Write Analyze Read Write

25. Creating a Culture for Business Science
25© 2013 Actian Corporation
Create Educational
Opportunities
Provide Incentives for
Participants
Reorganize to Support Business
Science
Deploy Infrastructure to Support
Analytics

26. Contact me at…
john.santaferraro@actian.com
408.373.7500
Visit Actian at…
www.actian.com
26© 2013 Actian Corporation

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Perceptions & Questions
Analyst:
Neil Raden

28. Analy5c
Types
and
Roles
Neil
Raden
Founder,
Hired
Brains
Research
Twi>er:
NeilRaden
Blog:
h>p://hiredbrains.wordpress.com
Website:
h>p://www.hiredbrains.com
Mail:
nraden@hiredbrains.com
LinkedIn:
h>p://www.linkedin.com/in/neilraden
Copyright
2013
Neil
Raden
and
Hired
Brains
Research
LLC
28

29. No
More
Managing
from
Scarcity
29

30. Even
Big
Data
Doesn’t
Speak
for
Itself
30
• Incomplete!
• Behaviors under-
represented!
• Anonymizing
disasters!
• Selection!
• ML still needs
analyst!
Not
a
crystal
ball

31. Anscombe’s
Quartet
Copyright
2013
Neil
Raden
and
Hired
Brains
Research
LLC
31
Mean
of
x
=
9
Variance
of
x
=
11
Mean
of
y
=
7.50
Variance
of
y
=
4.122
Correla5on
between
x
and
y
=
0.816
Linear
regression
line
y
=
3.00
+
0.500x

32. Descrip3ve
Title Quan3ta3ve
Sophis3ca3on/
Numeracy
Sample
Roles
Type
I Quan5ta5ve
R&D PhD
or
equivalent Crea5on
of
theory,
development
of
algorithms.
Academic
/research.
Work
in
business/government
for
very
specialized
roles
Type
II Data
Scien5st
or
Quan5ta5ve
Analyst
Advanced
Math/Stat,
not
necessarily
PhD
Internal
expert
in
sta5s5cal
and
mathema5cal
modelling
and
development,
with
solid
business
domain
knowledge.
Type
III Opera5onal
Analy5cs
Good
business
domain,
background
in
sta5s5cs
op5onal
Running
and
managing
analy5cal
models.
Strong
skills
in
and/or
project
management
of
analy5cal
systems
implementa5on
Type
IV Business
Intelligence/
Discovery
Data
and
numbers
oriented,
but
no
special
advanced
sta5s5cal
skills
Repor5ng,
dashboard,
OLAP
and
visualiza5on,
some
design,
posterior
analysis
of
results
from
quan5ta5ve
methods.
Spreadsheets,
“business
discovery
tools”
32
Analy3c
Types
Types
of
Analysis
Copyright
2013
Neil
Raden
and
Hired
Brains
Research
LLC

33. Ques5ons
Copyright
2013
Neil
Raden
and
Hired
Brains
Research
LLC
33
Analy3c
Types
• How
would
you
describe
the
difference
between
a
data
scien5st
and
a
business
scien5st?
• What
tools
are
needed
to
support
a
business
analyst?
• What’s
the
career
path
for
a
business
analyst?
• Is
big
data
suffering
from
hype?

34. Ques5ons
Copyright
2013
Neil
Raden
and
Hired
Brains
Research
LLC
34
Analy3c
Types
• Why
do
you
think
people
are
afraid
of
math?
• Should
universi5es
prepare
people
for
business
science
or
should
industry?

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Upcoming Topics
www.insideanalysis.com
September: ANALYTICS
October: DATA PROCESSING
November: DATA DISCOVERY &
VISUALIZATION

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Thank You
for Your
Attention