Remit : something that is not in

http://www.terrapinn.com/2012/big-data-world-europe/networking.stm Big Data

You as a professionalYou as a professional You as a one of 7 bn peopleYou as a one of 7 bn people You as a persona

TRUST

RISK

EXPECTATION

PRIVACY

IDENTITY

There is no one model of IDENTITY that will satisfy

everyone, in all cases, in all places

Observation 1

You

Observation 2

From

With some complexity in the middle

There is no model of TRUST that will satisfy everyone, in

all cases, in all places

Observation 3

Observation 4

It is about

TR US T

Observation 5

There is no one model of PRIVACY that will satisfy everyone in all cases and

privacy law is confused with“sharing”

There is ONLY ONE model of PRIVATE and that is what goes on inside your head

Observation 6

complexity is created as we balance our individualism with

professionalism and citizenship

Observation 7

So tell me something I didn’t know

Questions

How is All Data and My Data related?

Do you believe that everyone has the same opinion as you?

6 models for ALL DATA and My DATA

The Righteous model The Visionary model The Idealistic model

The Evolution model The Private model The replication model

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 GreaterThan modelThe Multiple Me model

Questions

How are My Data and My Rights related?

Do you believe that everyone has the same opinion as you?

The 4 models of My Data and Rights

The Extension model The Control model

The Right model The Real model

new model…..

Store

“Old Data”

Analysis

“Real Time Data”

Analysissignalssentimentintent

context, insights, feedback,fraud, behaviour, personalisation,

About to occur

“iData”

rear-view mirror

on display

Collect

What this means is that I can modify the UI/UX in real time

before you know what you want to do next – extreme…..

The only button is NEXT

Don’t get bogged down in trying understand this

Work out your own attitude towards

how you want your own data to be treated; first!

Work out your companies attitude towards your personal data;

second

Work out your companies attitude towards your

CUSTOMERS data; third

Articulate your perception of

creepy in terms of the gaps in

expectations

our frustration is that those with lower risk have higher authority

and that limits our own personal reach, scope, creativity and aspiration

and our annoyance is created by those with a higher risk propensity and a-can-do attitude that want to

take us beyond our own boundaries of expectation.

If your UI/ UX for collection, analysis, value or feedback (the

business elements of a data model) suck……

then your chances of success are trending towards zero

Your data is a commodity & ownership is unimportant. Value will be retained by those 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, data is king and creepy is our

political foe