#6 DataBeersBCN -"Data, Beer and Enterprise Architecture" by Julian Moore

3. beer…
Data,
and EA
A presentation in orange
by Julian Moore, Enterprise Architect @PantologEA

4. Why?Data Beer?
What is the value of X?

5. Beer?Why
Because…
– It’s tasty
– It’s refreshing
– And even better when it’s free
The question isn’t really Why
Beer?, it’s Why Not!
But… Why Data?

6. Data?Why
The qualities of data…
– Data can be pretty
– Like beer, some data is also free
– Data is existentially useful
So, let’s put in context: Why and
how is it useful? to us – and to
Enterprise Architecture?
And what is that?

7. What is
Architecture: The knowledge of art, science &
technology and humanity… in the service of designing,
constructing and modifying physical structures
EA?
Enterprise Architecture knows people, processes &
systems to develop better organisations
and their capabilities , processes, services, hardware, software, data…
Analogy

8. How EA Exploits Data
How people, processes
& systems connect
What’s happening
around us
Breaking
news
Models & data
choose the route
Where are we now à
Where we want to go
We choose the
future
Orientation by strategy,
standards & policies

9. Idea
– Data is existentially useful
– It really is a matter of life and death – but why?
Data exploitation from non-technical viewpoints*
– Scandinavian Mythology
– The Ecology of the Galapagos
– Chinese Polemology**
* Now with added vampire references
** The study of war
ReloadedData

10. Mythology: All-Father’s Eyes
Munin(n) – Memory*
Without memory, there is
nothing to understand
Hugin(n) - Thought
Without thought, there is
no understanding
The Poetic Edda – Grímnismál
I fear for Hugin, that he come not back,
yet more anxious am I for Munin

11. BUFEE
Understand
the why and the how
Elect
a valuable future path as plan
Forecast
possible futures
Behold
the data
Execute
observe the results & repeat
– like Slayer*, but different
*Also like OODA, but different

12. InformationData
Analysis makes outline
models from data
Models become plans
Models make data about
hypothetical futures
The past as the history of
the present
Plans lead to outcomes
Deviations from forecasts
become part of history

13. Standard Lessons from the Galapagos
Inheritance…
– DNA
Variation…
– Sex
– Mutation
Selection…
– Eat/be eaten
– Looking fit
Charles Darwin, 1840,
by George Richmond,
©English Heritage

14. A Static Landscape
© Randy Olson and Bjørn Østman, by permission

15. Evolution of Evolution
Hidden Assumptions..
– Slow background change
– Significant populations
Are wrong in business, where
– Everything changes
– All the time
– Only yours matters
But, if change isn’t too rapid…
Charles Darwin, ~1878.
(Richard Milner Archive)

16. A Business Landscape
© Randy Olson and Bjørn Østman, by permission

17. Is being “highly evolved” really good?
T. Rex – Well adapted to
65 million BP
Eagle – Well
adapted to air
Dodo – Well adapted to…
one tiny island in Mauritius
Archaeopteryx – Exploring
a new niche
Ï1
Ï

18. Sun Tzu’s Advice* to the General – individual,
team leader, project manager, director, CEO…
The general who wins a battle makes many
calculations in his temple before fighting the battle.
The general who loses a battle makes only a few
calculations beforehand.
If many calculations lead to victory, and few
calculations to defeat, what if no calculation at all?
To beat the competition, business must
calculate… with data
孫子兵法 The Art of War

19. Want your business to die out?
Of course not. So…
Collect data
– Goals, motivation, capabilities, resources…
– The environment, the competition
– And how they all change
Decide where to go and calculate
– Model ways forward
– Evaluate for cost, benefit, risk & opportunity
– Choose the best
We’re naturally smart, business has to work at EA

20. The Problem with (EA) Data
« stereo typ e»
P ro je ctMile sto n e
[C lass]
{O w n ed attrib u tesh aveto b estereo typ ed <<P ro je ct Th em e> >.,
A llo fth eP ro jectTh em es,o w n ed b yaP ro jectMilesto n e,m u stb etyp ed b yth es am eP ro jec tTh em eSt atu s. }
-In fo rm atio n Tech n o lo gyStan d ard C atego ry : Strin g [*]
-m an d ated D ate : ISO 8 6 0 1 D ateTim e [0 ..]
-retired D ate : ISO 8 6 0 1 D ateTim e [0 ..]
-sh o rtN am e : Strin g [0 ..]
-versio n : Strin g [0 ..]
-cu rren tStatu s : Strin g [0 ..]
« stereo typ e»
Stan d ard
[C lass]
-/realized Exch an ge : O p eratio n alExch an ge [*]
-id en tifier : Strin g
« stereo typ e»
N e e d lin e
[A sso ciatio n , C o n n ecto r]
-realized Exch an ge : R eso u rceIn teractio n [*]
« stereo typ e»
R e so u rce C o n n ecto r
[C o n n ecto r]
-id en tifier : Strin g
-realized Exch an ge : R eso u rceIn teractio n [*]
« stereo typ e»
R e so u rce In te rface
[A sso ciatio n , C o n n ecto r]
-id en tifier : Strin g
-/p ro d u cin gA ctivity : O p eratio n alA ctivity [*]
-/co n su m in gA ctivity : O p eratio n alA ctivity [*]
« stereo typ e»
O p era tio n a lExch a n g e
« stereo typ e»
Su b jectO fO p era tio n a lSta teMa ch in e
« stereo typ e»
Su b jectO fR eso u rceSta teMa ch in e
« stereo typ e»
Su b jectO fO p era tio n a lC o n stra in t
+co n n ecto rR eq u ired : B o o lean = tru e
« stereo typ e»
So aML::P o rt
[P o rt]
« stereo typ e»
A ctu a lO rg a n iza tio n a lR eso u rce
-/im p lem en ted B y : System sElem en t
« stereo typ e»
O p era tio n a lElem en t
« stereo typ e»
Su b jectO fR eso u rceC o n stra in t
« stereo typ e»
H igh Le ve lO p e ratio n alC o n ce p t
[C lass]
-id en tifier : Strin g
-/co n su m in gFu n ctio n : Fu n ctio n [*]
-/p ro d u cin gFu n ctio n : Fu n ctio n [*]
« stereo typ e»
R e so u rce In te ractio n
[In fo rm atio n Flo w ]
-/im p lem en ts : O p eratio n alElem en t
« stereo typ e»
System sElem en t
-en d D ate : ISO 8 6 0 1 D ateTim e [0 ..]
-startD ate : ISO 8 6 0 1 D ateTim e
« stereo typ e»
A ctu alP ro je ct
[In stan ceSp ecificatio n ]
« stereo typ e»
Ma n u fa ctu red R eso u rceTyp e
[C lass]
« stereo typ e»
Stan d ard O p e ratio n alA ctivity
[A ctivity]
-statem en t : V isio n Statem en t [*]
« stereo typ e»
En te rp rise V isio n
[C lass]
« stereo typ e»
O p era tio n a lExch a n g eItem
« stereo typ e»
O rg a n iza tio n a lR eso u rce
[C lass]
« stereo typ e»
P ro to co lIm p lem en ta tio n
« stereo typ e»
R eso u rceIn tera ctio n Item
« stereo typ e»
N o Lo n ge rU se d Mile sto n e
[In stan ceSp ecificatio n ]
« stereo typ e»
O p e ratio n alState Mach in e
[StateMach in e]
-lo catio n D escrip tio n : Strin g
« stereo typ e»
P h ysicalLo catio n
[D ataTyp e]
« stereo typ e»
O p e ratio n alA ctivityEd ge
[A ctivityEd ge]
« stereo typ e»
O rgan izatio n alExch an ge
[In fo rm atio n Flo w ]
-d ate : ISO 8 6 0 1 D ateTim e
« stereo typ e»
A ctu alP ro je ctMile sto n e
[In stan ceSp ecificatio n ]
-d o ctrin e : C o n strain t [..*]
« stereo typ e»
C ap ab ilityC o n figu ratio n
[C lass]
-/filled B y : A ctu alP erso n [*]
« stereo typ e»
A ctu alP o st
[In stan ceSp ecificatio n ]
« stereo typ e»
P articip an tA rch ite ctu re
[C lass]
« stereo typ e»
C o n figu ratio n Exch an ge
[In fo rm atio n Flo w ]
« stereo typ e»
O u tO fSe rvice Mile sto n e
[In stan ceSp ecificatio n ]
« stereo typ e»
R e so u rce State Mach in e
[StateMach in e]
« stereo typ e»
O p e ratio n alEve n tTrace
[In teractio n ]
+en co d in g : Strin g
« stereo typ e»
So aML::Me ssage Typ e
[C lass, D ataTyp e]
« stereo typ e»
Syste m C o n n e cto r
[A sso ciatio n , C o n n ecto r]
« stereo typ e»
C o m m u n icatio n sLin k
[C o n n ecto r]
« stereo typ e»
R e so u rce C o m p o ne nt
[P ro p erty]
« m etaclass»
In stan ce Sp e cificatio n
« stereo typ e»
So aML::R e q u e stP o in t
[P o rt]
« stereo typ e»
Syste m Fu n ctio n Ed ge
[A ctivityEd ge]
« stereo typ e»
In fo rm atio n Exch an ge
[In fo rm atio n Flo w ]
« stereo typ e»
O p e ratio n alMe ssage
« stereo typ e»
R e so u rce Eve n tTrace
« stereo typ e»
Wh o le Life En te rp rise
[C lass]
-Missio n A rea : Strin g [*]
« stereo typ e»
Missio n
[U seC ase]
« stereo typ e»
In cre m e n tMile sto n e
[In stan ceSp ecificatio n ]
« stereo typ e»
So aML::Se rvice P o in t
[P o rt]
« stereo typ e»
En viro n m en ta lTyp e
« stereo typ e»
D e p lo ye d Mile sto n e
[In stan ceSp ecificatio n ]
« stereo typ e»
Mo ve m e n tO fP e o p le
[In fo rm atio n Flo w ]
« stereo typ e»
R e tire m e n t
[In stan ceSp ecificatio n ]
-co d e/sym b o l : Strin g
-serviceTyp e : Strin g
« stereo typ e»
A ctu alO rgan izatio n
[In stan ceSp ecificatio n ]
-id en tifier : Strin g
« stereo typ e»
In fo rm atio n Ele m e n t
« stereo typ e»
Lo gicalA rch ite ctu re
[C lass]
+en co d in g : Strin g
« stereo typ e»
So aML::A ttach m e n t
[P ro p erty]
« stereo typ e»
Su b jectO fFo reca st
« stereo typ e»
R e so u rce Me ssage
« stereo typ e»
P erfo rm ed A ctivity
« stereo typ e»
O p e ratio n alA ctivity
[A ctivity]
« stereo typ e»
U se d C o n figu ratio n
[P ro p erty]
« stereo typ e»
O rg a n iza tio n R o le
« stereo typ e»
So aML::P articip an t
[C lass]
« stereo typ e»
R eferred Lo ca tio n
« stereo typ e»
Mate rie lExch an ge
[In fo rm atio n Flo w ]
« stereo typ e»
Se rvice O p e ratio n
[O p eratio n ]
« p ro file»
UPDM L0
« stereo typ e»
R e so u rce A rtifact
[C lass]
« stereo typ e»
Se rvice Me ssage
[Message]
« stereo typ e»
En te rp rise P h ase
[C lass]
+isID : B o o lean
« stereo typ e»
So aML::P ro p e rty
[P ro p erty]
« stereo typ e»
K n o w n R e so urce
[P ro p erty]
« stereo typ e»
O p e ratio n alN o d e
[C lass]
« stereo typ e»
H u m an R e so u rce
[P ro p erty]
« stereo typ e»
Su b O rgan izatio n
[P ro p erty]
« stereo typ e»
En e rgyExch an ge
[In fo rm atio n Flo w ]
« m etaclass»
In fo rm atio n Flo w
« stereo typ e»
Syste m Fu n ctio n
[A ctivity]
« stereo typ e»
H o ste d So ftw are
[P ro p erty]
« stereo typ e»
Se rvice Fu n ctio n
[A ctivity]
« stereo typ e»
P ro b le m D o m ain
[P ro p erty]
« stereo typ e»
A ctivitySu b ject
« stereo typ e»
Su b Syste m P art
[P ro p erty]
« stereo typ e»
So aML::Exp o se
[D ep en d en cy]
« stereo typ e»
C o n tro ls
[In fo rm atio n Flo w ]
« stereo typ e»
C o m m an d s
[In fo rm atio n Flo w ]
« stereo typ e»
D ataExch an ge
[In fo rm atio n Flo w ]
-U R L/U R I : Strin g
« stereo typ e»
U P D MElem en t
« stereo typ e»
En te rp rise G o al
[C lass]
-id en tifier : Strin g
« stereo typ e»
D ataEle m e n t
[C lass]
« stereo typ e»
Ligh tC o n d itio n
[D ataTyp e]
« stereo typ e»
R eso u rceR o le
« stereo typ e»
Syste m sN o d e
[C lass]
« stereo typ e»
R eso u rce
[C lass]
« stereo typ e»
P o stR o le
[P ro p erty]
« stereo typ e»
C o n cep tItem
« stereo typ e»
N o d e
[C lass]
« stereo typ e»
P latfo rm
[P ro p erty]
« stereo typ e»
C ap ab ility
[C lass]
« stereo typ e»
En d u rin gTask
[C lass]
« stereo typ e»
C lim ate
[C lass]
« stereo typ e»
N o d eP a ren t
« stereo typ e»
P erfo rm er
[C lass]
« stereo typ e»
Fu n ctio n Ed ge
[A ctivityEd ge]
« stereo typ e»
P ro to co l
[C lass]
« stereo typ e»
O rgan izatio n
[C lass]
« stereo typ e»
R e so u rce P o rt
[P o rt]
« stereo typ e»
Syste m
[C lass]
« stereo typ e»
En e rgy
[C lass]
« stereo typ e»
C ap ab ility
[C lass]
« stereo typ e»
N o d eC h ild
« stereo typ e»
Lo catio n
[D ataTyp e]
« stereo typ e»
So aML::A ge n t
[C lass]
« stereo typ e»
En viro n m e n t
[C lass]
« stereo typ e»
En tityIte m
[C lass]
« stereo typ e»
So ftw are
[C lass]
« stereo typ e»
N o d e R o le
[P ro p erty]
« stereo typ e»
P o st
[C lass]
« stereo typ e»
C o m p e te n ce
[C lass]
« stereo typ e»
Eq u ip m e n t
[P ro p erty]
« stereo typ e»
P art
[P ro p erty]
« stereo typ e»
Fu n ctio n
[A ctivity]
« stereo typ e»
Exte rn alN o d e
[C lass]
« m etaclass»
State Mach in e
« m etaclass»
P ro p e rty
« m etaclass»
U se C ase
« m etaclass»
D ataTyp e
« m etaclass»
A sso ciatio n
« m etaclass»
O p e ratio n
« m etaclass»
D e p e n d e ncy
« m etaclass»
A ctivity
« m etaclass»
C o n n e cto r
« m etaclass»
P o rt
« m etaclass»
Me ssage
« m etaclass»
A ctivityEd g e
« m etaclass»
In te ractio n
« m etaclass»
C lass
Wh at, if an y is th e relatio n sh ip h ere in
th e m eta-m o d el???
C lass_ServiceC ap ab ilit y
-co n fo rm sTo *
-m ilesto n e *
-reso u rce *
C lass_P articip an tA rch itectu re
P o rt_P o rt
-rep resen ted B y *
-rep resen ts *
D ataTyp e_Message Typ e
-d efin ed B y
*
-d efin es
*
-u sed Fu n ctio n s
*
C lass_MessageTyp e
-carried Item 0 ..*
-carries *
-/fu n ctio n sU p o n
*
-/su b ject *
C lass_P articip an t
-/su b ject *
-/actsU p o n *
« im p o rt»
P ro p erty_A ttach m en t
« im p o rt»
-n o Lo n gerU sed B y ..*
-carried Exch an ge
*
« im p o rt»
P ro p erty_P ro p erty
« im p o rt»
-resp o n sib leFo r *
« im p o rt»
-u sed B y
..*
-o w n ed Milesto n es
..*
-realizes
*
-realized B y
*
-in h ab its
0 ..*
-en viro n m en tC o n d itio n s
0 ..*
-co n creteB eh avio r
0 ..
-statem en tTasks
*
-en terp riseP h ase
-go als
*
-exh ib its *
-w h o le
0 ..
-p art 0 ..*
-d escrib ed Missio n
0 ..*
-ratified B y *
-ratified Stan d ard s *
-im p lem en ts
-en terp riseP h ase
-visio n s *
*
-ab stractB eh avio r 0 ..
-carries
*
« im p o rt»
/m akes
+/n eed s 0 ..*
+p articip an t 0 ..1
/o ffers
+/cap ab ilities 0 ..*
+p articip an t 0 ..1
D ep en d en cy_C ap ab ilityR ealizatio n
-carries *
Too much data
– As big as the enterprise, mapped into too many fuzzy
concepts
Too little meaning
– Islands & archipelagoes instead of a continent
Ineffective modelling
– Like a weak neural network, bad EA just re-encodes its data
EA fails ⅔ of the time*
– Because data… and its lack of meaning
*Roeleven & Broer, Why two thirds of Enterprise Architecture Projects Fail (2008) online here

21. Awakenings
Jorge Santayana amended –
– Those who cannot remember the structure of the
past are condemned to repeat it*
Though EA often sucks, it doesn’t have to
– Those who best remember and understand the past
will be the survivors of the future
– They key to good is EA is better information – better
data organised according to clearer concepts
*Jorge Agustín Nicolás Ruiz de Santayana y Borrás, The Life of Reason, Vol. 1 Ch. XII Flux and
Constancy in Human Nature (p284) online here

22. End game
An English poet* famously said
A little learning is a dangerous thing;
Drink deep, or taste not the Pierian spring**:
We need more semantic data – the data which
gives other data meaning – in order to survive
Why data?
– Because used intelligently, Data Defeats Darwin…
– It’s why we are Earth’s dominant species
*Alexander Pope, An Essay on Criticism, 1709
** sacred to the Greek muses and a source of knowledge & inspiration, in Macedonia

23. or eablog.pantologea.com
Game Over
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