Transcript Watson-Compete Every Day

Compete Every Day
Introduction to Data-analytics
Introduction
Meet the Mash Up
Maestro:
DJ Earworm
Introduction
DJ Earworm’s Approach
Top 25 pop songs of the year
Identifies a theme both lyrically & musically
Creates 1 song
History of data-analytics
Initial mashups were
used for epidemiology
John Snow identified the
source for a cholera
outbreak in 1854
History of data-analytics
By plotting points onto a map,
Snow was able to identify that a
water pump was the source of the
disease.
Data-analytics
Based on a true story, let’s examine one more
real world example:
Data-analytics
How many baseball games can you win using
a “Data-driven philosophy”?
$1,400,000
versus
$260,000
The New York
Yankees &
Oakland Athletics
won the EXACT
SAME # of games
Data-analytics
Mash Up
Definition
Taking two
disparate data
points, mashing
them together, and
seeing what results.
Data-analytics
Mashups are the
caffeine of innovation.
Companies are
becoming more
creative by changing
the way they think
about and view data.
Data-analytics
What’s different
today?
Data-analytics
To understand
mashups of
today, we must
first step back
and understand
the broader
context of the
history of the
web.
Data-analytics
Web 1.0
=
Content
Consumers
Data-analytics
Web 1.0
=
Read only
Data-analytics
Web 1.0
=
No interaction or
content sharing
Data-analytics
With the creation of Web 2.0, web standards were
developed and widely adopted.
Data-analytics
Web 2.0 Enables…
•
•
•
•
•
•
•
Mashups
User Interaction
Collaboration
Ability to Contribute
Real-time Information
Ability to Publish
Freedom
Data Mash Ups
In the past 15 years, our ability to collect data has
improved.
Data-analytics
“Ninety percent of the world’s data has been created
in the last two years…The ultimate question is really
what insight and value can we draw from that data.”
-George Lee, Chief Information Officer, Investment
Banking, Goldman Sachs
Data-analytics
Competitive
Advantage
With vast amounts of
data now available,
companies in almost
every industry are
focused on exploiting
data.
Data-analytics
Data
Science
Defined:
A set of
fundamental
principles that
guide the
extraction of
knowledge from
data.
Data-analytics
Data
Science
Defined:
A set of
fundamental
principles that
guide the
extraction of
knowledge from
data.
Data-analytics
Why?
Data-analytic
thinking enables
you to evaluate
proposals for
data mining
projects.
Data-analytics
Company
Benefits:
Why?
- More productivity
-Return on Assets
-Return on Equity
-Asset utilization
-Market value
Data-analytics
Data Driven
Decisions
So what do beer
& strawberry pop
tarts have in
common?
Data-analytics
Data Driven
Decisions
“We didn’t know in the
past that strawberry
Pop Tarts increase in
sales, like seven times
their normal sales rate,
ahead of a hurricane.”
– Linda M. Dillman, Chief Information Officer
at Wal-Mart (Hays, 2004
)
Data-analytics
Data Driven
Decisions
“And the pre-hurricane
top-selling item was
beer.”
– Linda M. Dillman, Chief Information Officer
at Wal-Mart (Hays, 2004)
Data-analytics
What are the Business Benefits of
Enterprise Mash Ups?
In an abstract written by four
researchers, we gain valuable insights to
the power of mash ups in business.
Data-analytics
What are the Business Benefits of
Enterprise Mash Ups?
In recent years, enterprise mash ups
(EMs) are increasingly considered by
companies as an innovative technology
for addressing ad-hoc and situational
needs of knowledge workers.
Data-analytics – User Orientation
User
Orientation:
How should
enterprise
mash ups
support the
user value
proposition in
the business
units?
Increased
flexibility
Increased
satisfaction
Increased
involvement
Data-analytics – Op Excellence
Operational
Excellence:
What services
and processes
must enterprise
mash ups use
to satisfy both
the user and
corp. value
proposition
Support of
unstructured
process
Reduced process
breaks
Improved
decision making
Data-analytics – Future Orientation
Future
Orientation:
How will
enterprise mash
ups develop the
ability to change
and improve in
order to better
achieve the
company’s
vision?
Rapid response to
changing markets
Improved
competitiveness
Increased
innovation rate
Data-analytics – Financials
Financials:
How should
enterprise
mash ups
enhance the
financial
performance?
Preserved
investments
Improved
productivity
Data-analytics
Asking the
right
question
Compete Every Day!
Introduction to Data-analytics
• Q&A
• Thank you!
• Contact Information
– Sandra Watson
– Email: [email protected]
– Cell PH: 614.286.7895