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presentation for #freshthinkers @jobsite
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Who is the digital you?tonyfish www linkedin skype twitter facebook
http://www.mydigitalfootprint.com
a fine balancing act
You as a professionalYou as a one of 7 bn people You as a persona
Stuff that costslots of money
Stuff that has to be big
strategyconsulting
trivia disruption
Stuff money cannot buy
diamonds presents for the daughters
presents for the wifefaith
Stand Up
whilst I don't know exactly what your thinking, I know what generic
behaviour looks like, what you have done and therefore what you will do!
I probably know more about you…. what you are thinking, what you will do, how you will react
… than you are willing to accept!
Internet and beliefs
The Internet needs you!
intelligence
analysis
personalisation
passive activity
what we do
what the web does
More ‘OFF’ : Less ‘ON’on this screen
in this earpiece
content
where
time
intent
direction
who
consume createionx
Symbiotic Relationship Web business depend on consumer data
web services
and value
creation of content
consumption of content
data store
analysis Data
dig
ital
dat
a tr
ade
business consumer
Source http://www.mydigitalfootprint.com
Signal
Spike
Pulse
Wave
Trend
Actual User Data
Actual User Data
Actual User Data
“The Business”
The User
Direct feedback
In Direct feedback
friendssocial
norms
Two sided digital business
So let’s talk about “data”
Content you publish about yourself
Content others publish about
you
Data you leave about
yourself
Cross this line when you agree to publish or post
anything to the web. Data and content shifts from
within your control to out of your control
Data and content in your control
collected
Questions
• How is All Data and My Data related?
• Do you believe that everyone has the same opinion as you?
The Righteous model The Visionary model The Idealistic model
The Evolution model The Private model The replication model
6 models for ALL DATA and My DATA
Questions
• How are My Data and Identity related?
• Do you believe that everyone has the same opinion as you?
The 5 models of My Data and Identity
The Related model The Inseparable model
The Subset model The Multiple Me model The Greater Than model
Questions
• How is My Data and My Rights related?
• Do you believe that everyone has the same opinion as you?
The Extension model The Control model
The Right model The Real model
The 4 models of My Data and Rights
There is No simple answer….
Tony Fish Oct 2009A Two Sided Digital Business Model where your Privacy will be someone else's business !
Education Data you leave
Holy Kaw Design
Definitions of digital footprint
What is a digital footprint?How I react to analysis of my data
Data embedded in my content and
interactions
Data embedded in my content and
interactions
Data embedded in my social
networks content and interactions
with me
Data embedded in my social
networks content and interactions
with me
What I say about myself
What I say about myself
What others say about
me
What others say about
me
What the analysis says about
What the analysis says about
What the analysis says about me in my social context
What the analysis says about me in my social context
How my social group in influenced by the analysis of my data
Purchasebehaviour
Payment experience
settlement
Screenexperience
Can you control it all ?
Who creates identity?
• government • education • parents• family and friends• influencers, filters and those I follow • news• bias and experience • beliefs that I like • my behaviour, habits, routes and routines
So who creates identity? - no one
Having an identity doesn’t create value
physical me
claims and history me Social me
from others
from me
behavioural me
Source: My Digital Footprint http://www.mydigitalfootprint.com/
cost value
height
DNA finger printhair colour
eye colour
voice
images
iris scan
brands patterns
activityusage
routes
habits
routinespreferences
attention events
bank and credit
home addresses
professional achievements
academic achievements
medical recordsofficial documents
tweetsblogs
photos
videocomments
friends
linkslikes
linksphotos
blogsvideo
commentsfriendstags
likes
Google doesn't want your identity – it wants the data that gives you identity
trigger(spike)
reflection(pulse)
refinement(wave)
stable(signal)
reputation
influence
authority
relevancy
preference
credibility
trust
reach
Quick one for you as a person…
“Are friends important?”
rainbow of trustuntrusting and stupid
untrusting and wise
accept authority
one-way my-way
dangerous cautious structured simple open
• give up data without thought• passive• click on anything• no firewall• loss of ID• follow and lead• early and late• social leads
• selective• privacy protected• many persona• thoughtful• advised
• likes portal• mass market• must work• simple• marketing works
• banking• know limits• will explore• follow• will expand
• un-tethered• fashion• no help• discovery• push boundaries• social lead
Your DataIn your control
Don’t share data to unlock
private
Allow use of your data to
access personalisation
Share data to access the
multiplier effect
Out of control
Share your data to gain
access to the volume effect
public
creepyprivate
personal
Level of invasion
Value of Data
The Colourful Lines of Privacy
Shades of data abuse
acceptable unacceptable
TRAITSOpen
TransparentKnownTrusted
Value addEngaging
TRAITSClosedSecret
UnknownUn-trusted
Value destroyingFraud/ theft
bliss annoying creepy disturbing unethical
your content
other’s contentabout you
your data
Collection Analysis Insights Outcomes
knows about you
CREEPY
unwanted messages
VALUE
personalised
wanted messages
recreates Identity
Recreation of identity
@kevinmarks
It is all about how it is presented
“TRUTH”
BroadcastBroadsheet
ReportsResearch
“wishful thinking”
FACTFICTION
TRUTH
INTERPRETATION
Tabloids
Hope, Dreams & Disruption
Internet/Web
What CEO’swant
“Privacy”
recklessness courage cowardice
Excess Virtue Deficient
Public Private Public
internet public, closed, non-contextual, raw and timeless
broadcast TV, newspapers, open, contextual, edited and
time bounded
“towards freedom”
“towards control”
unethicalimmoralillegalcreepy
unethicalimmoralillegalcreepy
TRUST RISK
IDENTITY
bonded but not related
PRIVACY SECURITY
Incr
easi
ng c
lose
dIn
crea
sing
ope
n
High Control
High Value
Justification of benefits/ Deliver ERC
Justification of barriers/ Sell FUD
Is there a business model?
1 Pay for enhancement to service (subscription or one off)
2 Trade data for enhancement directly with service provider
3 Trade data for enhancement via a third party (indirect) such as an aggregation party
4 Pay for services directly (subscription or one off)
5 Trade data for service directly with service provider
6 Trade data for services via a third party (indirect) such as an aggregation party
7 Pay to protect your identity
8 Enable 3rd party to use and exploit your data to generate benefits in kind and / or cash for a percentage of revenue
Enable 3rd party to use and exploit their data to generate benefits in kind and / or cash for a percentage of revenue
Data is a commodity & ownership is unimportant. Value will be retained by those who own the
feedback loop, who can get deep & dirty in the transformation of data to create value & can marry
complexity with uncertainty
In the new kingdom, loyalty is dead, privacy is a setting, trust is the challenger, the princes’ are
brands, the princesses are simplicity, attention is queen and data is king.
Relevancy to
Our granddad’s had 1 profession and job for life
Our parents probably had three jobs
We are likely to have over 10 jobs
Our kids will need several jobs at the same time
Our grandkids will have several professions
“We” are not the same anymore
Research goes both ways….
screenagers do what they wantmanaged profiles
Someone is quicker
What is being said about …
managementcompany you
brandstyle
standards
market
Not where but what
sentiment
blog
Data can give you… Best Practice
best time to post a job?
connectionsmatched
‘a person’
where to post a job? ROI on placement
valued identity
authority
influence
reputation
Take Away
No-one knows everything
Data is two way
Influence or influencer
Trust Privacy Brand
Feedback loops
Disruption was free
Analysis is complex and expensive
Implementation needs partners