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.
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
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
