Hot Technologies with John Myers, Dr. Robin Bloor and Pentaho Live Webcast on June 18, 2014 Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=237fd14bed7bee268ac5142898520cf4 Without the proper tools, even the best practitioners have trouble achieving their vision. But wherever you find serious potential for value, the toolkits are sure to be found. That’s good news for data professionals of all kinds, from modelers and integrators to full-fledged data scientists. Software vendors are keenly focused on delivering the range of functionality that these experts crave. That encompasses everything from the dirty work of data preparation, all the way to the exciting activity of slicing and dicing. Register for this episode of Hot Technologies to learn from Analysts Dr. Robin Bloor and John Myers as they explain the nature of data science, and how the enterprise can best leverage predictive technology. They’ll be briefed by Mark Kromer and Chuck Yarbrough of Pentaho, who will discuss how their company reduces data preparation for data scientists, and helps them focus on what they do best; advanced and predictive analytics. They will show how their Data Science Pack combines data engineering and integration with a spectrum of analytics capabilities to help users of all types get the most value from their data and how IT can partner with those data scientists to operationalize that work. Visit InsideAnlaysis.com for more information.

1. Grab some coffee and enjoy
the pre-show banter before
the top of the hour!

2. H T
Technologies
of
2014

3. HOST:
Eric
Kavanagh

4. THIS
YEAR
is…

5. D
ata
Science
ž Considered
a
highly
specialized
field
ž Perceived
as
an
expensive
position
to
fill
given
the
required
skill
set
ž Typically
involves,
among
other
things,
data
preparation
for
advanced
analytics

6. ANALYST:
John
Myers
Research
Director,
Enterprise
Management
Associates
ANALYST:
Robin
Bloor
Chief
Analyst,
The
Bloor
Group
GUEST:
Chuck
Yarbrough
Director
of
Big
Data
Product
Marketing,
Pentaho
THE
LINE
UP
GUEST:
Mark
Kromer
Big
Data
Analytics
Product
Manager,
Pentaho

7. INTRODUCING
John
Myers

8. Today’s Presenters
John Myers, Research Director, EMA
John has over 10 years of experience working in areas related to business analytics
in professional services consulting and product development roles. Additionally, John
helps organizations solve their business analytics problems, whether they relate to
operational platforms – such as customer care or billing – or applied analytical
applications – such as revenue assurance or fraud management.
Slide 8 © 2014 Enterprise Management Associates, Inc.

9. How are companies using Data Science?
Slide 9 © 2014 Enterprise Management Associates, Inc.

10. Data Science Defined
Data Science is the study of the generalizable extraction
of business or domain knowledge from data. It
incorporates varying elements and builds on techniques and
theories from many fields, including signal processing,
mathematics, probability models, machine learning,
statistical learning, computer programming, data engineering,
pattern recognition and learning, visualization,
uncertainty modeling, data warehousing, and high
performance computing. Data Science is not
restricted to Big Data. Although the fact that data is
increasing in load, complexity and structure
makes Big Data an important aspect of Data Science.
Slide 10 © 2014 Enterprise Management Associates, Inc.

11. Vision of a “Data Scientist”
Slide 11 © 2014 Enterprise Management Associates, Inc.

12. Few and far between…
Slide 12 © 2014 Enterprise Management Associates, Inc.

13. Who’s really performing Data Science…
Slide 13 © 2014 Enterprise Management Associates, Inc.

14. Many more Business Analysts…
Slide 14 © 2014 Enterprise Management Associates, Inc.

15. EMA Hybrid Data Ecosystem
Slide 15 © 2014 Enterprise Management Associates, Inc.

16. Empowering Data Scientists AND Business
Analysts to perform Data Science
Slide 16 © 2014 Enterprise Management Associates, Inc.

17. INTRODUCING
Robin
Bloor

18. The Data
Science
Dance
Robin Bloor, Ph.D.

19. Take Note!
You can know more
about a business
from its data than
by any other
means

20. The Driving Force of Insight
and
OPTIMIZATION?
Foresight
INSIGHT
Hindsight Oversight

21. What is a Data Scientist?
u Project manager
u Qualified statistician
u Domain Business expert
u Experienced data
architect
u Software engineer
(IT’S A TEAM)

22. A Process, Not an Activity
u Data Analytics is a multi-disciplinary
end-to-end
process
u Until recently it was a
walled-garden. But the
walls were torn down by:
• Data availability
• Scalable technology
• Open source tools

23. The Impact of Machine Learning
Machine learning and processing
power (parallelism) will CHANGE the
data analysis process
Machine learning
AUTOMATES “data science”
to some degree

24. The Data Analysis Budget
u Data Analysis is
BUSINESS R&D
u The focus is on
business process
u The outcome of successful
R&D is a CHANGED PROCESS
u Think of manufacturing for
a useful example

25. INTRODUCING
Chuck
Yarbrough
&
Mark
Kromer

26. DATA SCIENCE PACK
© 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide 26 +1 (866) 660-7555
CHUCK YARBROUGH
DIRECTOR, BIG DATA PRODUCT MARKETING
@CYARBROUGH
MARK KROMER
BIG DATA ANALYTICS PRODUCT MANAGER
@KROMERBIGDATA
JUNE 18, 2014
Pentaho’s Hot Topic

27. The strength of Pentaho
lies in the power of combination
Data
integration
Big data +Any data
© 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide 27 +1 (866) 660-7555
Business
+analytics
The IT
department
Lines of
+business
Any data. Any environment. Any analytics.

28. OUR VISION
The New Reality:
Powerful yet simplified analytics for all users
Billing
Social
Media
Location
Customer
Web
Network
© 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide 28 +1 (866) 660-7555
Analytics
ANY Analytics
• Reports
• Dashboards
• Visualizations
• Discovery
• Predictive
• Any role
Existing & New Data
Infrastructure &
Processes
ANY Environment
• Data warehouses
• Data marts
• Stack vendors
• Cloud
• Embedded
ANY Data
• Relational
• Operational
• Big Data
• Data sources not
yet anticipated

29. Pentaho 5.0 Architected for the Future
Simplified analytics experience for all users
Simplified
Analytics
Experience
Blended
Big Data
Enterprise
Big Data
Integration
© 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide 29 +1 (866) 660-7555

30. A Spectrum of Big Data Use Cases
WHAT THE MARKET IS DEPLOYING TODAY AND PLANNING FOR TOMORROW
Entry
Transform
© 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide 3300 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide ++11 ((886666)) 666600--77555555
Advanced
Optimize
Data
Warehouse
Op.miza.on
Streamlined
Data
Refinery
Big
Data
Explora.on
Customer
360
Degree
View
Harnessing
Machine
&
Sensor
Data
Next
Genera.on
Applica.ons
Internal
Big
Data
as
a
Service
On-­‐Demand
Big
Data
Blending
Big
Data
Predic.ve
Analy.cs
Use Case Complexity
Business Impact
Mone.ze
My
Data

31. Pentaho Data Science Pack
OPERATIONALIZE R AND WEKA, OFFLOAD DATA PREPARATION
• Allow Data Scientists to focus on analysis
• Use familiar tools (R, Weka)
• Leverage a graphical ETL tool to manage
data preparation
• Blend Big Data Sources Easily
• Provide access to data with governance
• Operationalize the analytic workflow
• Enable IT to partner with Data Scientists
© 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide 31 +1 (866) 660-7555

32. What’s in the Pack?
TOOLS FAMILIAR TO THE DATA SCIENTIST
• R SCRIPT EXECUTOR
• Provides access to 5,500+
advanced algorithms
• WEKA FORECASTING
• Machine learning, time series
analysis
• WEKA SCORING
• Calculates probability values for
better predictions
© 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide 32 +1 (866) 660-7555
Analy.c
Data
Flows
PDI
R/Weka

33. LEVERAGING THE DATA SCIENCE PACK
Providing a more complete view for customers
“…we are now helping clients blend a 360-
degree view of all equipment data sources for
early prediction of potential machinery failure.”
© 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide 33 +1 (866) 660-7555
“There was a gap in the market ….people like
myself were piecing together solutions to help
with the data preparation, cleansing and
orchestration of analytic data sets. The Pentaho
Data Science Pack fills that gap to operationalize
the data integration process for advanced and
predictive analytics ”
Ken Krooner President at ESRG

34. “USING WEKA WITH PDI, WE ARE NOW HELPING CLIENTS HAVE A 360-
DEGREE VIEW OF ALL EQUIPMENT DATA SOURCES TO ENABLE
CAPABILITIES TO PREDICT EARLY PREDICTION OF POTENTIAL MACHINERY
FAILURE.”
Fleet Data via
Satellite
© 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide 34 +1 (866) 660-7555
Business User (COO)
Reporting on Operations
and Efficiency
End Users
Dashboards and Reports
on Machine Performance
PDI
Data
Marts
Business
Analytics
Server
Data Scientist
Data Mining and
Predictive Data
Governance
Local Machine
and Server Data
Cross Department
Operations Data
PDI
• Provide
remote
and
onboard
analy.cs
for
mari.me
fleets
and
ships
• Weka
with
PDI,
to
help
clients
blend
a
360-­‐degree
view

35. Predictive View of the Customer
LEVERAGE BLENDED BIG DATA & DATA SCIENCE TO SEIZE OPPORTUNITIES
© 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide 35 +1 (866) 660-7555
Key
Considera-ons
• Requires
data
scien.sts
and
PhDs
-­‐
expensive
resources
• Data
prep
for
predic.ve
modeling
can
be
labor-­‐intensive
• Tech
fit:
Various
data
stores,
Distributed
Weka,
Enterprise
R
What
is
it?
• Brings
mul+-­‐source
data
together
for
an
on-­‐demand
analy+c
view
across
customer
touch
points
• Applies
predic+ve
models
to
data
as
part
of
the
integra+on
process
–
to
op+mize
customer-­‐facing
decisions
Why
Do
It?
• Recommend
profitable
decisions
for
front
line
teams
• Automate
and
scale
op-mal
customer
interac-ons
• Boost
upsell,
reduce
churn

36. Thank You
JOIN THE CONVERSATION. YOU CAN FIND US ON:
blog.pentaho.com
@Pentaho
© 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide 36 +1 (866) 660-7555
Facebook.com/Pentaho
Pentaho Business Analytics

38. THANK
YOU!
The
Archive
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Analysis
www.insideanalysis.com
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