In this Wayne Eckerson delivers an overview of his new book "Secrets of Analytical Leaders: Insights from Information Insiders." Imagine spending a day with top analytical leaders and asking any question you want. In this book, Wayne Eckerson illustrates analytical best practices by weaving his perspective with commentary from seven directors of analytics who unveil their secrets of success. With an innovative flair, Eckerson tackles a complex subject with clarity and insight.

1. Big Data Thought Leadership Webinar
Web:
www.cetas.net
Twi)er:
@CetasAnaly/cs
Blog:
www.cetas.net/blog
YouTube:
www.youtube.com/CetasAnaly/cs
© 2009 VMware Inc. All rights reserved

2. Introductions
David Morris, Host
Big Data Analytics Marketing – Cetas, By VMware
dmorris@vmware.com
@jdavidmorris
Please submit your questions at anytime throughout the
webinar via the chat tool.
2

3. The
Secrets
of
Analy;cal
Leaders:
Insights
from
Informa;on
Insiders
Wayne
W.
Eckerson
President,
BI
Leader
Consul/ng

4. Wayne
Eckerson
• BI
thought
leader
• President,
BI
Leader
Consul/ng
• Director,
BI
Leadership
Forum
• Director,
BI
Leadership
• Former
director
of
research
at
TDWI
• Author
• Wayne
Eckerson
• weckerson@bileadership.com
• @weckerson
4

5. Analy;cal
Leaders
Dan
Ingle,
Kelley
Blue
Book
Tim
Leonard,
USXpress
1. Incremental
development
1. Talk
language
of
business
2. Teamwork
2. Let
business
present
3. One
size
doesn’t
fit
all
3. Deliver
quick
wins
Amy
O’Connor,
Nokia
Kurt
Thearling,
CapitalOne
1. Data
is
a
product
1. Curate
the
data
2. Create
an
ecosystem
2. Sta/s/cians
are
craUsmen
3. Change
management
3. Manage
model
produc/on
Darren
Taylor,
Blue
KC
1. Create
the
right
team
2. Get
execu/ve
support
Ken
Rudin,
Zynga
3. Deliver
a
quick
win
1. Ques/ons,
not
answers
2. Impacts,
not
insights
3. Evangelists,
not
oracles
Eric
Colson,
NeIlix
1. Eliminate
coordina/on
costs
2. Work
fast,
cohere
later
3. Build
with
context
5

6. Purple
People
• Straddle
business
and
technology
• Talk
the
language
of
business
• Run
the
analy/cal
group
like
a
business
• Recruit
business
people
to
their
team
• Manage
“front”
and
“back”
offices

7. Success
framework
CULTURE
PEOPLE
ORGANIZATION
PROCESS
Performance
Measurement
Development
Methods
Fact-­‐based
Decisions
Project
Management
Embedded
Analysts
ARCHITECTURE
Business-­‐oriented
BI
Data
Developers
Structured
Top-­‐down
Bo^om-­‐up
Analysts
Internal
External
DATA
Unstructured
Sandboxes
Cross-­‐func/onal
Collabora/on
Analy/cal
Center
of
Excellence
Casual
and
Power
Users
Data
Treated
as
a
Corporate
Asset

8. Culture
Create
an
analy;cal
culture
Rou;ne
Test
hypothesis
Cue
Reward
Idea
LiU
and
Ken
Rudin
sa/sfac/on!
Keystone
habit:
“Be
evangelists,
not
oracles”

9. People
Team
members
BI/DW
Developers
(Centralized)
TOP
DOWN
“Business
Intelligence”
Corporate
Objec;ves
and
Strategy
Repor;ng
&
Monitoring
(Casual
Users)
Data
Warehousing
Predefined
Casual
Users
Architecture
Data
architects,
ETL
developers,
report
Metrics
developers,
data
administrators,
DW
administrators,
technical
architects,
requirements
specialists,
trainers,
etc.
Analysts
Analy;cs
Ad
hoc
Power
Users
(embedded)
Architecture
queries
Analysis
and
Predic;on
(Power
Users)
Processes
and
Projects
Super
users,
business
analysts,
sta/s/cians,
data
scien/sts,
data
BOTTOM
UP
analysts
9

10. Organiza/on
Team
principles
• Hire
people
with
business
knowledge
and
emo/onal
IQ
• Align
people
with
their
natural
strengths
• Prac;ce
the
principle
of
proximity
• Empower
people
to
build
complete
solu/ons
• Foster
teamwork
and
trust
• Allow
failure
Autonomy,
mastery,
purpose

11. Process
Deliver
value
fast!
• Answer
a
meaningful
ques/on
• Deliver
value
along
the
way
• Get
a
quick
win
• Implement
scrum
• Empower
spanners
...
to
gain
credibility
and
momentum

12. Monitoring
Architecture
Casual
Users
Business
Intelligence
End-­‐User
Tools
Reports
and
Dashboards
Design
Framework
MAD
Dashboards
Con;nuous
Intelligence
Content
Intelligence
Architecture
Data
Ware-­‐
Keyword
search,
BI
tools,
Xquery,
Hive,
Java,
etc.
MapReduce,
XML
schema,
Data
Warehousing
housing
Event-­‐Driven
Alerts
and
Key-­‐value
pairs,
graph
Dashboard
Alerts
Event
detec/on
HDFS,
NoSQL
and
correla/on
CEP,
Streams
nota/on,
etc.
Repor;ng
databses
Event-­‐driven
Dashboards
&
Analysis
Analy/c
Analy/c
Sandboxes
Sandboxes
Ad
hoc
query,
Spreadsheets,
Ad
hoc
SQL
OLAP,
Visual
Analysis,
Analy/c
Workbenches,
Hadoop
Excel,
Access,
OLAP,
Data
mining,
visual
explora/on
Analy;cs
Intelligence
Explora/on
Power
Users

13. Analy;cal
Ecosystem
Machine Event-­‐driv
en
messa
Data
ging
Casual
User
Streaming/
CEP
Engine
Aler
ts
ETL
Operational
System BI
Server
ODS
Logical
or
Data
Warehouse
Physical
ETL
Data
Mart
dashboards
Interac/ve
Operational
System
Top-­‐down
BI
Virtual
Sandboxes
Bo+om-­‐up
BI
Web Data Visual
Hadoop
Cluster
discovery
tools
Quer
Audio/video Free-­‐standing
y
Data Analy;cal
sandbox
Upload
&
query
External
Data Power
User
KEY:
Classic
BI
New
Stuff

14. Tools
BI
tools
market
Dashboards
Repor/ng
Pixel
Perfect
Ad
hoc
Opera/onal
Casual
Users
Repor/ng
Reports/
Reports/
Dashboards
Dashboards
BI
FUNCTIONALITY
Rela/onal
OLAP
Top-­‐down
Desktop
Bo^om-­‐up
Analysis
Analysis
Mul/-­‐
(e.g.
Excel)
dimensional
Power
Users
OLAP
Visual
Big
Data
Discovery
Analy/cs
Planorms
Mining
Data
Mining
Workbench
Analyst
Department
Enterprise
SCOPE
OF
DEPLOYMENT

15. Data
What
is
“big
data”?
a) Lots
of
data
Data
b) Different
types
of
data
“Three
V’s”
c) High
velocity
data
d) Purpose-­‐built
analy/cal
database
Systems
e) Distributed
file
system
f) In-­‐memory
database
g) A
Java
developer’s
full
employment
act
Movement
h) A
replacement
for
the
RDBMS
i) A
club
for
hip
data
people
Yes!
www.bileader.com

16. Summary
CULTURE
PEOPLE
ORGANIZATION
PROCESS
Performance
Measurement
Development
Methods
Fact-­‐based
Decisions
Project
Management
Embedded
Analysts
Business-­‐oriented
BI
ARCHITECTURE
Data
Developers
Top-­‐down
Structured
Bo^om-­‐up
Internal
Analysts
External
DATA
Unstructured
Sandboxes
Cross-­‐func/onal
Collabora/on
Analy/cal
Center
of
Excellence
Casual
and
Power
Users
Data
Treated
as
a
Corporate
Asset
Keys:
Available
at
-­‐ Deliver
value
fast
Amazon.com
-­‐ Manage
change
-­‐ Hire
the
right
people…
-­‐ And
point
them
in
the
right
direc/on
-­‐ Create
agile
data
warehouses
-­‐ Curate
the
data

17. To
Vote
Tweet
the
following
with
your
Favs
“tweet
handle”
I
nominate
@twi^erhandle
for
the
#bigdata100
most
influen/al
#bigdata
Twi^er
accounts
h^p://bit.ly/10QUXoo
1. Wayne
Eckerson
@weckerson
2. J.
David
Morris
@jdavidmorris
3. Cetas
@cetasanaly/cs
4. Karthik
Kannan
@KarthikBigData
5. Rakish
Nair
@mynameisnair

18. Ques;ons??
Available
at
Amazon.com
• Wayne
Eckerson
I’m
listening!
• weckerson@bileadership.com
• @weckerson
www.bileadership.com
18

19. Big Data Thought Leadership Webinar Series
April ’s Big Data Thought Leader:
Bob Hayes, Ph.D.
Improving the Customer Experience
Using Big Data, Customer-Centric
Measurement and Analytics
Wednesday, April 17, 2013
10:00 am PT/ 1:00 pm ET
Register Today, as space is limited for this premium webinar
www.cetas.net/webinars
dmorris@vmware.com
19

20. Sign-up today for FREE Analytics @ www.cetas.net !
Cetas Big Data Analytics Free Trial
Monetize Your Big Data Today!
20

21. Find the recording of this webinar at:
www.cetas.net/webinars
21

22. Big Data Thought
Leadership Webinar Series
INSTANT INTELLIGENCE
Live
Webinar
Registra;on
and
Recorded
Webinars
available
at
www.cetas.net/webinars
Web:
www.cetas.net
Twi)er:
@CetasAnaly/cs
Blog:
www.cetas.net/blog
YouTube:
www.youtube.com/CetasAnaly/cs
© 2009 VMware Inc. All rights reserved