SlideShare uma empresa Scribd logo
1 de 42
Making Co nte nt Po rtable Ac ro s s the
            Ente rpris e


                    Ann R oc kle y
        P re s ide nt, Th e R oc kle y G roup Inc .
                 roc kle y@roc kle y.c om
The Ro c kle y Gro up Inc .




©2008, Th e R oc kle y G roup Inc .
The Ro c kle y Gro up s ample c lie nts




©2008, Th e R oc kle y G roup Inc .
Ag e nda
                  Wh y s h a re
                  Ch a lle ng e s to s h a ring
                  Org a niz a tiona l a g re e me nt
                  Informa tion Arc h ite c ture
                  Te c h nolog y




©2008, Th e R oc kle y G roup Inc .
Cus tome r-c e ntric c o ntent
                  Ma rke ting
                  S a le s
                  Do c um e nta tion
                  Tra ining
                  C u s tom e r s upport




©2008, Th e R oc kle y G roup Inc .
Why s hare ?
                  Inc re a s e d c ons is te nc y
                  R e duc e d c os ts
                  F oc us e d bra nding
                  Inc re a s e d produc tivity
                  Cus tome r s a tis fa c tion




©2008, Th e R oc kle y G roup Inc .
Challe ng e s
Multiple info rmatio n pro duc ts
                  B roc h ure s , produc t informa tion s h e e ts , propos a ls ,
                   pre s s re le a s e s , s pe e c h e s , pre s e nta tions , a nnua l
                   re ports
                  E mploye e tra ining ma te ria ls , polic ie s a nd
                   proc e dure s
                  Us e r g uide s , online h e lp, re fe re nc e doc ume nts ,
                   a pplic a tion g uide s
                  P roduc t s pe c ific a tions , de s ig n doc ume nts , te s t
                   pla ns
                  F AQs , c us tome r s upport ma te ria ls
                  Cla s s room or we b-ba s e d tra ining


©2008, Th e R oc kle y G roup Inc .
Conte nt is s iloe d
                  Conte nt is c re a te d a nd
                   ma na g e d in multiple
                   a re a s a c ros s th e
                   org a niz a tion
                  Conte nt is c re a te d,
                   re c re a te d, a nd
                   re c re a te d
                  S imila r, ye t diffe re nt
                   c onte nt is s tore d
                   multiple time s
                  Multiple ve rs ions of
                   c onte nt


©2008, Th e R oc kle y G roup Inc .
Diffe re nt pro c e s s e s /no pro c e s s e s
                  E a c h de pa rtme nt h a s its own proc e s s e s
                  S ome de pa rtme nts h a ve no proc e s s e s




©2008, Th e R oc kle y G roup Inc .
S tandards
                  S ome de pa rtme nts h a ve s ta nda rds for c onte nt
                   (te mpla te s , vis ua l g uide line s , e ditoria l g uide line s )
                  Oth e rs h a ve none




©2008, Th e R oc kle y G roup Inc .
Taxo no my (tag g ing )
                  Conte nt is s tore d in multiple wa ys
                  S ome de pa rtme nts h a ve a s pe c ific ta xonomy
                  Oth e rs h a ve none
                  It ma y not be e nforc e d




©2008, Th e R oc kle y G roup Inc .
Te c hno lo g y
                  Multiple tools e xis t a c ros s th e org a niz a tion
                     Conte nt ma na g e me nt s ys te ms
                     



                     Auth oring tools
                     



                     Da ta ba s e s
                     



                     Conte nt forma ts
                     




©2008, Th e R oc kle y G roup Inc .
Pe o ple
                  P e ople a re foc us e d on th e ir own de live ra ble s
                  R e s is ta nc e to s ta nda rdiz a tion
                     
                       Our c us tome rs /    produc t/ e rvic e is diffe re nt
                                                        s
                     
                       Th e me dia a ffe c ts th e me s s a g e
                     
                       Outs ourc e d
                  Ha ve n’t th e time to s h a re




©2008, Th e R oc kle y G roup Inc .
Info rmatio n arc hite c ture
                  Ta xonomy
                  Conte nt mode ls




©2008, Th e R oc kle y G roup Inc .
What is a taxo no my?
                  Th e word c ome s from th e G re e k τάξις, taxis,
                   (orde r) + νόμος, nomos, (la w/ c ie nc e )
                                                             s
                  Th e pra c tic e of c la s s ifying pla nts a nd a nima ls a nd
                   oth e r org a nis ms in a n org a niz e d fa s h ion
                  A me th od of org a niz ing informa tion
                  A type of Controlle d Voc a bula ry



                  All a round us …




©2008, Th e R oc kle y G roup Inc .
Why a unifie d taxo no my?
                  Conte nt is s tore d in multiple a re a s th roug h out th e
                   org a niz a tion
                  Ca n’t s h a re if we c a n’t find it
                  Ca n’t find it if we don’t know wh a t it is c a lle d
                  Ca n’t fig ure out wh a t it is c a lle d if e ve ryone c a lls it
                   s ome th ing diffe re nt
                  Ca n’t a utoma te th e s h a ring of informa tion if we c a n’t
                   find it
                  …




©2008, Th e R oc kle y G roup Inc .
To o many type s o f info , to o many plac e s !




©2008, Th e R oc kle y G roup Inc .
What do we ne e d to c re ate a taxo no my?
                  We ne e d:
                     Me ta da ta “da ta a bout da ta ” to h e lp us org a niz e
                     


                     th e informa tion.
                     Controlle d Voc a bula rie s wh ic h h e lp c omple te th e
                     


                     me ta da ta informa tion, a nd a llow th e us e r to find
                     informa tion wh e n a s e a rc h is pe rforme d.
                     To de fine th e re la tions h ips be twe e n th e c onte nt
                     


                     a nd be twe e n th e c onte nt a nd th e me ta da ta .




©2008, Th e R oc kle y G roup Inc .
What is me tadata?
                    It is th e e nc ode d knowle dg e of your org a niz a tion,
                     de s c ribe d by Da vid Ma rc o a s :

                     “… a ll ph ys ic a l da ta (c o nta in e d in s o ftwa re a nd o th e r m e d ia )
                     a n d kn o wle d g e (c o nta in e d in e m p loye e s a n d va riou s m e d ia )
                     fro m in s id e a n d o u ts ide a n org a nis a tion , inc lu d in g in form a tion
                     a b o ut th e p h ys ic a l d a ta , te c h n ic a l a nd b us in e s s p ro c e s s e s ,
                     ru le s a n d c o ns tra ints of th e d a ta , a n d s truc tu re s of th e d a ta
                     us e d b y a c orp o ra tio n.”




©2008, Th e R oc kle y G roup Inc .
Type s o f me tadata?
                  C a te g o riz a tio n m e ta d a ta
                     
                        C a te g o riz a tio n m e ta da ta is u s ua lly us e d b y c on te nt us e rs
                        to re trie ve c o n te n t.
                  E le m e n t m e ta da ta
                     
                        R e us e
                           Me ta d a ta for re u s e is u s e d to id e n tify th e c o m po ne n ts
                             o f c on te nt th a t c a n b e re u s e d in m ultip le a re a s .
                     
                        R e trie va l
                           Me ta d a ta for re trie va l is u s e d to re trie ve c on te nt. It
                             m a y c o ns is t of m e ta d a ta fo r re u s e a s we ll a s
                             a dd ition a l re trie va l m e ta da ta .
                     
                        Tra c kin g
                           Me ta d a ta for tra c king (s ta tus ) is u s e d to id e n tify th e
                             s ta tus o f yo ur c o n te nt in a workflo w s ys te m .


©2008, Th e R oc kle y G roup Inc .
What is a Co ntro lle d Vo c abulary?
                  A c ontrolle d voc a bula ry is a lis t of te rms a n a uth or
                   c a n pic k from to c a te g oriz e th e ir c onte nt.
                  It is c ontrolle d be c a us e it doe s not a llow th e m to
                   e nte r th e ir own te rms .
                  Us e a c ontrolle d voc a bula ry for your me ta da ta to
                   e ns ure th a t me ta da ta is na me d a nd a pplie d
                   c ons is te ntly.
                  Allows for c ons is te nt a uth oring a nd da ta s e a rc h a nd
                   re trie va l.
                  R e la te d to Auth ority a nd S ynonym Lis ts , a nd to
                   Th e s a uri


©2008, Th e R oc kle y G roup Inc .
Ho w do we s tart?
                  G a th e r pe ople wh o will us e th e s ys te m.
                     
                       Inc lude e ve ryone , from a uth ors to “us e rs ”.
                     
                       R e me mbe r to c ons ide r th os e wh o will ma inta in
                       (a s oppos e d to c re a te ) th e informa tion, if th os e
                       a re diffe re nt g roups .
                  R e me mbe r th a t you mus t c onc e ntra te on th e g oa l,
                   not th e s ys te m:

                   quot;To s ta rt out with th e ta s k ra th e r th a n th e e nd
                   produc t ma y re s ult, h owe ve r, in be a utiful
                   e ng ine e ring of work th a t s h ould not be done a t a ll.quot;
                                        P D
                                         eter rucker (D rucker, P F (1993 (reprint)). M
                                                                  eter .                    anagement: Tasks,
                                             Responsibilities, Practices. HarperCollins. I N 0-88730-615-2. )
                                                                                         SB


©2008, Th e R oc kle y G roup Inc .
What to lo o k at
                  E xa mine e xis ting g los s a rie s , lis ts a nd s imila r
                   ba c kg round informa tion.
                     
                       Wh o c re a te d th e s e doc ume nts ?
                     
                       Wh y we re th e re doc ume nts c re a te d?
                     
                       Wh a t wa s th e ir purpos e ?
                     
                       Ha s th a t ne e d c h a ng e d or e xpa nde d s inc e th e y
                       we re c re a te d?
                     
                       Ca n th e y be us e d a s a jumping off point, or a re
                       th e y h is toric a l doc ume nts ?




©2008, Th e R oc kle y G roup Inc .
Co nt.
                  Look a t e xis ting s e a rc h
                     Wh a t is its c a pa bility?
                     


                     Ca n s e a rc h e s be s a ve d?
                     


                     Ca n th e y be e dite d a nd re run?
                     


                     Wh a t is la c king ?
                     


                     Wh a t c ould be improve d?
                     


                  Look a t e xis ting c onte nt c re a tion
                     Wh a t is its c a pa bility?
                     


                     Ca n da ta be s h a re d?
                     


                     How?
                     


                     Wh a t is la c king ?
                     


                     Wh a t c ould be improve d?
                     




©2008, Th e R oc kle y G roup Inc .
Creating a Co ntrolle d Voc abulary Gathering Te rms

                  A Te rm is be s t de fine d a s th e e le me nt th a t th e us e r
                   is looking for wh e n th e y a re s e a rc h ing for
                   informa tion.
                  Th ink of te rms a s e le me nts us e d to de s c ribe
                   c a te g orie s a nd s ub-c a te g orie s .

                  How is informa tion c urre ntly c a te g oriz e d:
                     B y R e g ion
                     



                     B y P la tform
                     



                     B y P roduc t
                     



                     e tc .
                     




©2008, Th e R oc kle y G roup Inc .
Co nte nt Mo de ls
S truc ture
                  If we a re g oing to s h a re c ompone nts of c onte nt, not
                   jus t doc ume nts we mus t e ns ure th a t c onte nt is
                   s truc ture d c ons is te ntly
                  Inc ons is te ntly s truc ture d c onte nt c a nnot be s h a re d
                  Multiple s truc ture s
                     
                       DITA
                     
                       Te mpla te s
                     
                       No te mpla te s




©2008, Th e R oc kle y G roup Inc .
Inc o mpatible s truc ture s




©2008, Th e R oc kle y G roup Inc .
Ge tting s tarte d
                  G a th e r c ommon e xa mple s of c onte nt
                  Ide ntify be s t pra c tic e s
                  Ana lyz e th e c onte nt for s imila ritie s a nd diffe re nc e s
                  Ide ntify re us e , g ra nula rity of re us e
                  De te rmine if a c ommon s truc ture is a ppropria te or if
                   ma pping is re quire d




©2008, Th e R oc kle y G roup Inc .
Mo de ling c o nte nt
                  Mode l c onte nt
                  B uild s a mple c onte nt
                  R e vie w mode ls a nd s a mple s with s ta ke h olde rs
                  De te rmine h ow to s upport c onte nt




©2008, Th e R oc kle y G roup Inc .
Mapping




©2008, Th e R oc kle y G roup Inc .
Te c hno lo g y
S ing le c o nte nt manag e me nt s ys te m?
                  Ma yb e
                  No t like ly
                     
                       WC M is g re a t for we b c o nte n t m a n a g e m e n t b ut prob a b ly
                       do e s n o t s u pp ort o th e r c h a n ne ls (prin t, h e lp)
                     
                       E C M m a n a g e s do c um e n ts we ll, b u t p ro b a b ly d oe s no t
                       m a n a g e c o m p on e n ts a nd re us e
                     
                       Mu ltic h a n ne l C C M m a n a g e s c om p on e n ts we ll, b ut
                       prob a b ly h a s n o c a p a b ility to m a n a g e a we b s ite
                     
                       S o lu tio n
                           Au th orita tive s ou rc e
                           Au to s h a rin g
                           F e d e ra te d/ te g ra te d s e a rc h
                                            in




©2008, Th e R oc kle y G roup Inc .
Autho ritative s o urc e
                  A s ing le a uth orita tive s ourc e (s ing le point of
                   s tora g e ) for a ny pie c e of informa tion ne e ds to be
                   ide ntifie d.
                  Th e mos t a c c ura te , c omple te , a uth oriz e d c onte nt is
                   dra wn from th e a uth orita tive s ourc e for re us e .
                  If c onte nt is s tore d in multiple loc a tions for e a s e of
                   publis h ing , a ll but th e a uth orita tive s ourc e a re
                   c ons ide re d s e c onda ry c opie s .
                  All c h a ng e s to a uth orita tive s ourc e mus t be ma de in
                   th e a uth orita tive s ourc e s o th a t e ve rywh e re th a t
                   c onte nt is re us e d it c a n be upda te d a ppropria te ly.
                  De riva tive c onte nt (c onte nt wh ic h is re us e d a nd
                   modifie d) c a n be c re a te d a nd s tore d in a n a lte rna te
                   loc a tion

©2008, Th e R oc kle y G roup Inc .
Auto s haring
                  As re us a ble c onte nt is upda te it is a utoma tic a lly
                   s h a re d a mong th e s ys te ms wh e re re us e is re quire d
                  Typic a lly re quire s c us tom s oftwa re




©2008, Th e R oc kle y G roup Inc .
Fe de rate d/inte g rate d s e arc h
                  P rovide s th e a bility to s imulta ne ous ly s e a rc h
                   multiple da ta s ourc e s
                     
                        Conte nt ma na g e me nt s ys te ms
                     
                        Da ta ba s e s
                     
                        F ile s e rve rs
                  Conte nt is inde xe d on a ll th e s ys te ms to fa c ilita te
                   s e a rc h
                  Common ta xonomy is ve ry importa nt for th is




©2008, Th e R oc kle y G roup Inc .
Multiple autho ring to o ls
                  Auth ors a re dive rs e , no s ing le tool will s uffic e
                     
                      We b, we b te mpla te s /  forms
                     
                      Doc ume nta tion, XML e ditors
                     
                      Tra ining , multiple
                     
                      Ma rke ting , Word
                     
                      Cus tome r s upport, multiple
                  Ke y is to h a ve c ommon mode ls imple me nte d in
                   XML s o th a t c onte nt c a n be s h a re d into a ny tool




©2008, Th e R oc kle y G roup Inc .
Do n’t fo rg e t the pe o ple
                  S truc ture d re us a ble c onte nt is a pa ra dig m s h ift
                  R e quire s
                     
                       Diffe re nt wa ys of writing
                     
                       Ne w proc e s s e s
                     
                       Inte ntion to s h a re
                  You will e xpe rie nc e
                     
                       Not inve nte d h e re
                     
                       My c us tome rs a re diffe re nt
                     
                       My me dia is diffe re nt
                     
                       I don’t h a ve time to look for it, it is fa s te r to write
                       it mys e lf
                     
                       And more

©2008, Th e R oc kle y G roup Inc .
Co nc lus io n
                  S h a ring c onte nt re s ults in:
                     
                       Inc re a s e d c ons is te nc y
                     
                       R e duc e d c os ts
                     
                       F oc us e d bra nding
                     
                       Inc re a s e d produc tivity
                     
                       Cus tome r s a tis fa c tion
                  And re quire s :
                     
                       Unifie d ta xonomy
                     
                       Conte nt mode ls
                     
                       Te c h nolog y c h a ng e s
                     
                       Ch a ng e ma na g e me nt

©2008, Th e R oc kle y G roup Inc .
Additional Res o urc e s
                  www.roc kle yre p ort.c om
                  www.roc kle yb log .c om




©2008, Th e R oc kle y G roup Inc .
Que s tio ns ?

      An n R oc kle y

Th e R o c kle y G rou p Inc .


   www.roc kle y.c om


 roc kle y@ro c kle y.c o m


      9 05 -9 39 -9 29 8

Mais conteúdo relacionado

Semelhante a Making Content Portable

citigroup January 19, 2007 - Fourth Quarter Financial Supplement
citigroup January 19, 2007 - Fourth Quarter Financial Supplementcitigroup January 19, 2007 - Fourth Quarter Financial Supplement
citigroup January 19, 2007 - Fourth Quarter Financial Supplement
QuarterlyEarningsReports
 
The Nintendo Wii Presentation For Canada Professionals 2
The Nintendo Wii Presentation For Canada Professionals 2The Nintendo Wii Presentation For Canada Professionals 2
The Nintendo Wii Presentation For Canada Professionals 2
Ben Herz
 

Semelhante a Making Content Portable (20)

Prepare Your Team for Cloud Transformation
Prepare Your Team for Cloud Transformation Prepare Your Team for Cloud Transformation
Prepare Your Team for Cloud Transformation
 
citigroup January 19, 2007 - Fourth Quarter Financial Supplement
citigroup January 19, 2007 - Fourth Quarter Financial Supplementcitigroup January 19, 2007 - Fourth Quarter Financial Supplement
citigroup January 19, 2007 - Fourth Quarter Financial Supplement
 
Prepare Your Team for Cloud Transformation - ENT205 - Chicago AWS Summit
Prepare Your Team for Cloud Transformation - ENT205 - Chicago AWS SummitPrepare Your Team for Cloud Transformation - ENT205 - Chicago AWS Summit
Prepare Your Team for Cloud Transformation - ENT205 - Chicago AWS Summit
 
Chapter 7 intro to business
Chapter 7 intro to businessChapter 7 intro to business
Chapter 7 intro to business
 
Sound Customer Strategy
Sound Customer StrategySound Customer Strategy
Sound Customer Strategy
 
Sound Customer Strategy
Sound Customer StrategySound Customer Strategy
Sound Customer Strategy
 
Reinsurance Powerpoint
Reinsurance PowerpointReinsurance Powerpoint
Reinsurance Powerpoint
 
AWS Transformation Day London Keynote 2018
AWS Transformation Day London Keynote 2018AWS Transformation Day London Keynote 2018
AWS Transformation Day London Keynote 2018
 
The Nintendo Wii Presentation For Canada Professionals 2
The Nintendo Wii Presentation For Canada Professionals 2The Nintendo Wii Presentation For Canada Professionals 2
The Nintendo Wii Presentation For Canada Professionals 2
 
Keynote - Unblocking Innovation for Digital Transformation
Keynote - Unblocking Innovation for Digital TransformationKeynote - Unblocking Innovation for Digital Transformation
Keynote - Unblocking Innovation for Digital Transformation
 
Preparing Your Team for a Cloud Transformation - AWS Online Tech Talks
Preparing Your Team for a Cloud Transformation - AWS Online Tech TalksPreparing Your Team for a Cloud Transformation - AWS Online Tech Talks
Preparing Your Team for a Cloud Transformation - AWS Online Tech Talks
 
MORE MERCHANT PROCESSING LEADS!!!
MORE MERCHANT PROCESSING LEADS!!!MORE MERCHANT PROCESSING LEADS!!!
MORE MERCHANT PROCESSING LEADS!!!
 
Roll-out of the NYU HSL Website and Drupal CMS
Roll-out of the NYU HSL Website and Drupal CMSRoll-out of the NYU HSL Website and Drupal CMS
Roll-out of the NYU HSL Website and Drupal CMS
 
BIA
BIABIA
BIA
 
Intro bus chapt 6 power point
Intro bus chapt 6 power pointIntro bus chapt 6 power point
Intro bus chapt 6 power point
 
J MARIN Labs / Digital Disruption
J MARIN Labs / Digital DisruptionJ MARIN Labs / Digital Disruption
J MARIN Labs / Digital Disruption
 
9 revision strategies to make your writing stronger
9 revision strategies to make your writing stronger9 revision strategies to make your writing stronger
9 revision strategies to make your writing stronger
 
AWS Transformation Day - Toronto 2018
AWS Transformation Day - Toronto 2018AWS Transformation Day - Toronto 2018
AWS Transformation Day - Toronto 2018
 
Corporate Fundraising Session
Corporate Fundraising SessionCorporate Fundraising Session
Corporate Fundraising Session
 
OBIZA 01.pptx
OBIZA 01.pptxOBIZA 01.pptx
OBIZA 01.pptx
 

Último

Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
giselly40
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
Earley Information Science
 

Último (20)

Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 

Making Content Portable

  • 1. Making Co nte nt Po rtable Ac ro s s the Ente rpris e Ann R oc kle y P re s ide nt, Th e R oc kle y G roup Inc . roc kle y@roc kle y.c om
  • 2. The Ro c kle y Gro up Inc . ©2008, Th e R oc kle y G roup Inc .
  • 3. The Ro c kle y Gro up s ample c lie nts ©2008, Th e R oc kle y G roup Inc .
  • 4. Ag e nda  Wh y s h a re  Ch a lle ng e s to s h a ring  Org a niz a tiona l a g re e me nt  Informa tion Arc h ite c ture  Te c h nolog y ©2008, Th e R oc kle y G roup Inc .
  • 5. Cus tome r-c e ntric c o ntent  Ma rke ting  S a le s  Do c um e nta tion  Tra ining  C u s tom e r s upport ©2008, Th e R oc kle y G roup Inc .
  • 6. Why s hare ?  Inc re a s e d c ons is te nc y  R e duc e d c os ts  F oc us e d bra nding  Inc re a s e d produc tivity  Cus tome r s a tis fa c tion ©2008, Th e R oc kle y G roup Inc .
  • 8. Multiple info rmatio n pro duc ts  B roc h ure s , produc t informa tion s h e e ts , propos a ls , pre s s re le a s e s , s pe e c h e s , pre s e nta tions , a nnua l re ports  E mploye e tra ining ma te ria ls , polic ie s a nd proc e dure s  Us e r g uide s , online h e lp, re fe re nc e doc ume nts , a pplic a tion g uide s  P roduc t s pe c ific a tions , de s ig n doc ume nts , te s t pla ns  F AQs , c us tome r s upport ma te ria ls  Cla s s room or we b-ba s e d tra ining ©2008, Th e R oc kle y G roup Inc .
  • 9. Conte nt is s iloe d  Conte nt is c re a te d a nd ma na g e d in multiple a re a s a c ros s th e org a niz a tion  Conte nt is c re a te d, re c re a te d, a nd re c re a te d  S imila r, ye t diffe re nt c onte nt is s tore d multiple time s  Multiple ve rs ions of c onte nt ©2008, Th e R oc kle y G roup Inc .
  • 10. Diffe re nt pro c e s s e s /no pro c e s s e s  E a c h de pa rtme nt h a s its own proc e s s e s  S ome de pa rtme nts h a ve no proc e s s e s ©2008, Th e R oc kle y G roup Inc .
  • 11. S tandards  S ome de pa rtme nts h a ve s ta nda rds for c onte nt (te mpla te s , vis ua l g uide line s , e ditoria l g uide line s )  Oth e rs h a ve none ©2008, Th e R oc kle y G roup Inc .
  • 12. Taxo no my (tag g ing )  Conte nt is s tore d in multiple wa ys  S ome de pa rtme nts h a ve a s pe c ific ta xonomy  Oth e rs h a ve none  It ma y not be e nforc e d ©2008, Th e R oc kle y G roup Inc .
  • 13. Te c hno lo g y  Multiple tools e xis t a c ros s th e org a niz a tion Conte nt ma na g e me nt s ys te ms  Auth oring tools  Da ta ba s e s  Conte nt forma ts  ©2008, Th e R oc kle y G roup Inc .
  • 14. Pe o ple  P e ople a re foc us e d on th e ir own de live ra ble s  R e s is ta nc e to s ta nda rdiz a tion  Our c us tome rs / produc t/ e rvic e is diffe re nt s  Th e me dia a ffe c ts th e me s s a g e  Outs ourc e d  Ha ve n’t th e time to s h a re ©2008, Th e R oc kle y G roup Inc .
  • 15. Info rmatio n arc hite c ture  Ta xonomy  Conte nt mode ls ©2008, Th e R oc kle y G roup Inc .
  • 16. What is a taxo no my?  Th e word c ome s from th e G re e k τάξις, taxis, (orde r) + νόμος, nomos, (la w/ c ie nc e ) s  Th e pra c tic e of c la s s ifying pla nts a nd a nima ls a nd oth e r org a nis ms in a n org a niz e d fa s h ion  A me th od of org a niz ing informa tion  A type of Controlle d Voc a bula ry  All a round us … ©2008, Th e R oc kle y G roup Inc .
  • 17. Why a unifie d taxo no my?  Conte nt is s tore d in multiple a re a s th roug h out th e org a niz a tion  Ca n’t s h a re if we c a n’t find it  Ca n’t find it if we don’t know wh a t it is c a lle d  Ca n’t fig ure out wh a t it is c a lle d if e ve ryone c a lls it s ome th ing diffe re nt  Ca n’t a utoma te th e s h a ring of informa tion if we c a n’t find it  … ©2008, Th e R oc kle y G roup Inc .
  • 18. To o many type s o f info , to o many plac e s ! ©2008, Th e R oc kle y G roup Inc .
  • 19. What do we ne e d to c re ate a taxo no my?  We ne e d: Me ta da ta “da ta a bout da ta ” to h e lp us org a niz e  th e informa tion. Controlle d Voc a bula rie s wh ic h h e lp c omple te th e  me ta da ta informa tion, a nd a llow th e us e r to find informa tion wh e n a s e a rc h is pe rforme d. To de fine th e re la tions h ips be twe e n th e c onte nt  a nd be twe e n th e c onte nt a nd th e me ta da ta . ©2008, Th e R oc kle y G roup Inc .
  • 20. What is me tadata?  It is th e e nc ode d knowle dg e of your org a niz a tion, de s c ribe d by Da vid Ma rc o a s : “… a ll ph ys ic a l da ta (c o nta in e d in s o ftwa re a nd o th e r m e d ia ) a n d kn o wle d g e (c o nta in e d in e m p loye e s a n d va riou s m e d ia ) fro m in s id e a n d o u ts ide a n org a nis a tion , inc lu d in g in form a tion a b o ut th e p h ys ic a l d a ta , te c h n ic a l a nd b us in e s s p ro c e s s e s , ru le s a n d c o ns tra ints of th e d a ta , a n d s truc tu re s of th e d a ta us e d b y a c orp o ra tio n.” ©2008, Th e R oc kle y G roup Inc .
  • 21. Type s o f me tadata?  C a te g o riz a tio n m e ta d a ta  C a te g o riz a tio n m e ta da ta is u s ua lly us e d b y c on te nt us e rs to re trie ve c o n te n t.  E le m e n t m e ta da ta  R e us e  Me ta d a ta for re u s e is u s e d to id e n tify th e c o m po ne n ts o f c on te nt th a t c a n b e re u s e d in m ultip le a re a s .  R e trie va l  Me ta d a ta for re trie va l is u s e d to re trie ve c on te nt. It m a y c o ns is t of m e ta d a ta fo r re u s e a s we ll a s a dd ition a l re trie va l m e ta da ta .  Tra c kin g  Me ta d a ta for tra c king (s ta tus ) is u s e d to id e n tify th e s ta tus o f yo ur c o n te nt in a workflo w s ys te m . ©2008, Th e R oc kle y G roup Inc .
  • 22. What is a Co ntro lle d Vo c abulary?  A c ontrolle d voc a bula ry is a lis t of te rms a n a uth or c a n pic k from to c a te g oriz e th e ir c onte nt.  It is c ontrolle d be c a us e it doe s not a llow th e m to e nte r th e ir own te rms .  Us e a c ontrolle d voc a bula ry for your me ta da ta to e ns ure th a t me ta da ta is na me d a nd a pplie d c ons is te ntly.  Allows for c ons is te nt a uth oring a nd da ta s e a rc h a nd re trie va l.  R e la te d to Auth ority a nd S ynonym Lis ts , a nd to Th e s a uri ©2008, Th e R oc kle y G roup Inc .
  • 23. Ho w do we s tart?  G a th e r pe ople wh o will us e th e s ys te m.  Inc lude e ve ryone , from a uth ors to “us e rs ”.  R e me mbe r to c ons ide r th os e wh o will ma inta in (a s oppos e d to c re a te ) th e informa tion, if th os e a re diffe re nt g roups .  R e me mbe r th a t you mus t c onc e ntra te on th e g oa l, not th e s ys te m: quot;To s ta rt out with th e ta s k ra th e r th a n th e e nd produc t ma y re s ult, h owe ve r, in be a utiful e ng ine e ring of work th a t s h ould not be done a t a ll.quot; P D eter rucker (D rucker, P F (1993 (reprint)). M eter . anagement: Tasks, Responsibilities, Practices. HarperCollins. I N 0-88730-615-2. ) SB ©2008, Th e R oc kle y G roup Inc .
  • 24. What to lo o k at  E xa mine e xis ting g los s a rie s , lis ts a nd s imila r ba c kg round informa tion.  Wh o c re a te d th e s e doc ume nts ?  Wh y we re th e re doc ume nts c re a te d?  Wh a t wa s th e ir purpos e ?  Ha s th a t ne e d c h a ng e d or e xpa nde d s inc e th e y we re c re a te d?  Ca n th e y be us e d a s a jumping off point, or a re th e y h is toric a l doc ume nts ? ©2008, Th e R oc kle y G roup Inc .
  • 25. Co nt.  Look a t e xis ting s e a rc h Wh a t is its c a pa bility?  Ca n s e a rc h e s be s a ve d?  Ca n th e y be e dite d a nd re run?  Wh a t is la c king ?  Wh a t c ould be improve d?   Look a t e xis ting c onte nt c re a tion Wh a t is its c a pa bility?  Ca n da ta be s h a re d?  How?  Wh a t is la c king ?  Wh a t c ould be improve d?  ©2008, Th e R oc kle y G roup Inc .
  • 26. Creating a Co ntrolle d Voc abulary Gathering Te rms  A Te rm is be s t de fine d a s th e e le me nt th a t th e us e r is looking for wh e n th e y a re s e a rc h ing for informa tion.  Th ink of te rms a s e le me nts us e d to de s c ribe c a te g orie s a nd s ub-c a te g orie s .  How is informa tion c urre ntly c a te g oriz e d: B y R e g ion  B y P la tform  B y P roduc t  e tc .  ©2008, Th e R oc kle y G roup Inc .
  • 27. Co nte nt Mo de ls
  • 28. S truc ture  If we a re g oing to s h a re c ompone nts of c onte nt, not jus t doc ume nts we mus t e ns ure th a t c onte nt is s truc ture d c ons is te ntly  Inc ons is te ntly s truc ture d c onte nt c a nnot be s h a re d  Multiple s truc ture s  DITA  Te mpla te s  No te mpla te s ©2008, Th e R oc kle y G roup Inc .
  • 29. Inc o mpatible s truc ture s ©2008, Th e R oc kle y G roup Inc .
  • 30. Ge tting s tarte d  G a th e r c ommon e xa mple s of c onte nt  Ide ntify be s t pra c tic e s  Ana lyz e th e c onte nt for s imila ritie s a nd diffe re nc e s  Ide ntify re us e , g ra nula rity of re us e  De te rmine if a c ommon s truc ture is a ppropria te or if ma pping is re quire d ©2008, Th e R oc kle y G roup Inc .
  • 31. Mo de ling c o nte nt  Mode l c onte nt  B uild s a mple c onte nt  R e vie w mode ls a nd s a mple s with s ta ke h olde rs  De te rmine h ow to s upport c onte nt ©2008, Th e R oc kle y G roup Inc .
  • 32. Mapping ©2008, Th e R oc kle y G roup Inc .
  • 33. Te c hno lo g y
  • 34. S ing le c o nte nt manag e me nt s ys te m?  Ma yb e  No t like ly  WC M is g re a t for we b c o nte n t m a n a g e m e n t b ut prob a b ly do e s n o t s u pp ort o th e r c h a n ne ls (prin t, h e lp)  E C M m a n a g e s do c um e n ts we ll, b u t p ro b a b ly d oe s no t m a n a g e c o m p on e n ts a nd re us e  Mu ltic h a n ne l C C M m a n a g e s c om p on e n ts we ll, b ut prob a b ly h a s n o c a p a b ility to m a n a g e a we b s ite  S o lu tio n  Au th orita tive s ou rc e  Au to s h a rin g  F e d e ra te d/ te g ra te d s e a rc h in ©2008, Th e R oc kle y G roup Inc .
  • 35. Autho ritative s o urc e  A s ing le a uth orita tive s ourc e (s ing le point of s tora g e ) for a ny pie c e of informa tion ne e ds to be ide ntifie d.  Th e mos t a c c ura te , c omple te , a uth oriz e d c onte nt is dra wn from th e a uth orita tive s ourc e for re us e .  If c onte nt is s tore d in multiple loc a tions for e a s e of publis h ing , a ll but th e a uth orita tive s ourc e a re c ons ide re d s e c onda ry c opie s .  All c h a ng e s to a uth orita tive s ourc e mus t be ma de in th e a uth orita tive s ourc e s o th a t e ve rywh e re th a t c onte nt is re us e d it c a n be upda te d a ppropria te ly.  De riva tive c onte nt (c onte nt wh ic h is re us e d a nd modifie d) c a n be c re a te d a nd s tore d in a n a lte rna te loc a tion ©2008, Th e R oc kle y G roup Inc .
  • 36. Auto s haring  As re us a ble c onte nt is upda te it is a utoma tic a lly s h a re d a mong th e s ys te ms wh e re re us e is re quire d  Typic a lly re quire s c us tom s oftwa re ©2008, Th e R oc kle y G roup Inc .
  • 37. Fe de rate d/inte g rate d s e arc h  P rovide s th e a bility to s imulta ne ous ly s e a rc h multiple da ta s ourc e s  Conte nt ma na g e me nt s ys te ms  Da ta ba s e s  F ile s e rve rs  Conte nt is inde xe d on a ll th e s ys te ms to fa c ilita te s e a rc h  Common ta xonomy is ve ry importa nt for th is ©2008, Th e R oc kle y G roup Inc .
  • 38. Multiple autho ring to o ls  Auth ors a re dive rs e , no s ing le tool will s uffic e  We b, we b te mpla te s / forms  Doc ume nta tion, XML e ditors  Tra ining , multiple  Ma rke ting , Word  Cus tome r s upport, multiple  Ke y is to h a ve c ommon mode ls imple me nte d in XML s o th a t c onte nt c a n be s h a re d into a ny tool ©2008, Th e R oc kle y G roup Inc .
  • 39. Do n’t fo rg e t the pe o ple  S truc ture d re us a ble c onte nt is a pa ra dig m s h ift  R e quire s  Diffe re nt wa ys of writing  Ne w proc e s s e s  Inte ntion to s h a re  You will e xpe rie nc e  Not inve nte d h e re  My c us tome rs a re diffe re nt  My me dia is diffe re nt  I don’t h a ve time to look for it, it is fa s te r to write it mys e lf  And more ©2008, Th e R oc kle y G roup Inc .
  • 40. Co nc lus io n  S h a ring c onte nt re s ults in:  Inc re a s e d c ons is te nc y  R e duc e d c os ts  F oc us e d bra nding  Inc re a s e d produc tivity  Cus tome r s a tis fa c tion  And re quire s :  Unifie d ta xonomy  Conte nt mode ls  Te c h nolog y c h a ng e s  Ch a ng e ma na g e me nt ©2008, Th e R oc kle y G roup Inc .
  • 41. Additional Res o urc e s  www.roc kle yre p ort.c om  www.roc kle yb log .c om ©2008, Th e R oc kle y G roup Inc .
  • 42. Que s tio ns ? An n R oc kle y Th e R o c kle y G rou p Inc . www.roc kle y.c om roc kle y@ro c kle y.c o m 9 05 -9 39 -9 29 8