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Digital Change
Lessons from the trenches
About me
The views and opinions expressed in this presentation are my
personal ones, and do not represent my employer.
Nigel Fernandes
Head of Strategy & Architecture
Transforming Digital
vs
Technology Business
Transformation
Quick Audience Poll
Focus on
outcomes
“At its essence, DevOps is a culture, a movement, a philosophy.”
Efficiency as a driver
for DevOps and
Continuous Delivery
Quick Audience Poll
7 words, key to everything
Why, What, When, Who, Where, How, & How Much
As a leader
Why, What, When, Who, Where, How, & How Much
Spend your effort here.
As a follower
Why, What, When, Who, Where, How, & How Much
Talk about this Think about thisReport on this
Be genuine.
Exploit
Conway’s
Law
Conway’s Law
VS
Technical Organization of
teams drives an
architecture of technical
capabilities
Teams organized by
business capabilities drives
a business oriented
architecture
Factoring systems by Business Unit
● Rate of change
● Rate of evolution (complexity)
● Balancing central versus devolved efficiencies
Example:
BU Level – ERP Systems Group Level – FICO/Treasury Systems
Control Account
in General Ledger
Consolidation and forecasting
Group Reporting
Meat Grid Buying
Fresh Produce Ordering Strategic
Foundational
Focus for
your
Enterprise
Commodity
IaaS
Commodity
Platform as a
Service
Commodity
Software as a
Service
Offload Responsibility
Get Started
Now
Don’t wait for Top-Down, Down-Up.
Start both.
A final thought.
Reed Hastings is on a Charlie Rose interview, and Charlie says,
“Reed, what do the people in Palo Alto know that everyone else
doesn’t know?” And he said, “Moore’s Law.” And Charlie goes,
“Well, I know what Moore’s law is.” And he goes, “Yeah, but
Charlie, you don’t understand. We’re designing for the next
iteration now.”
Jim Hackett
Talking to Stephen Dubner in the Freakonomics
Podcast
Design for the next
iteration now.
Thank you.
Questions?

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Digital Transformation Summit - Melbourne 2019

Notes de l'éditeur

  1. https://www.atlassian.com/devops
  2. The smell to watch out for is the copy of the data is the whole data set
  3. http://freakonomics.com/podcast/ford/