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Washington,	
  DC	
  |	
  Brussels	
  |	
  London	
  |	
  Los	
  Angeles	
  |	
  New	
  York	
  |	
  Zurich	
  
1100	
  Glendon	
  Avenue,	
  Suite	
  925	
  |	
  Los	
  Angeles,	
  CA	
  90024	
  |	
  310.954.2980	
  
www.optimityadvisors.com	
  
	
  
	
  
	
  
Don’t	
  Cut	
  the	
  DAM	
  Check	
  Yet!	
  	
  Content	
  and	
  Metadata	
  Analysis	
  are	
  
Fundamental	
  Requirements	
  Before	
  Selecting	
  a	
  DAM	
  
By	
  Julia	
  Goodwin	
  
There	
  are	
  a	
  wide	
  array	
  of	
  DAM	
  vendors	
  from	
  on	
  prem	
  to	
  cloud	
  to	
  hybrid	
  that	
  can	
  provide	
  a	
  
variety	
  of	
  asset	
  management	
  capabilities	
  for	
  your	
  organization.	
  	
  They	
  have	
  a	
  wide	
  range	
  of	
  
features	
  and	
  prices.	
  	
  Most	
  are	
  extremely	
  slick	
  looking	
  and	
  it’s	
  easy	
  to	
  fall	
  in	
  love.	
  	
  Many	
  times,	
  
companies	
  go	
  straight	
  to	
  the	
  chase	
  and	
  purchase	
  the	
  DAM	
  system	
  they’re	
  interested	
  in.	
  	
  Worse,	
  
they	
  make	
  their	
  decision	
  with	
  a	
  list	
  of	
  requirements	
  that	
  may	
  not	
  adequately	
  consider	
  file	
  
formats,	
  workflow,	
  and	
  logical	
  and	
  “physical”	
  asset	
  metadata.	
  	
  Before	
  choosing	
  a	
  DAM	
  system,	
  
don’t	
  make	
  the	
  mistake	
  of	
  leaving	
  holistic	
  content	
  and	
  metadata	
  analysis	
  out	
  of	
  your	
  
requirements.	
  	
  	
  
	
  
Thorough	
  analyses	
  of	
  content	
  and	
  metadata	
  are	
  important	
  for	
  defining	
  DAM	
  system	
  
requirements	
  that	
  capture	
  a	
  complete	
  picture	
  of	
  an	
  organization’s	
  needs.	
  Here	
  are	
  some	
  
important	
  analyses	
  to	
  conduct	
  when	
  defining	
  requirements	
  for	
  evaluating	
  DAM	
  systems.	
  	
  
Without	
  performing	
  these,	
  you	
  may	
  end	
  up	
  with	
  a	
  solution	
  that	
  does	
  not	
  fit	
  your	
  organization	
  
and	
  may	
  require	
  costly	
  enhancement	
  charges.	
  	
  I	
  have	
  worked	
  with	
  companies	
  in	
  the	
  past	
  that	
  
bought	
  a	
  DAM	
  system	
  only	
  to	
  find	
  out	
  later	
  that	
  it	
  could	
  not	
  accommodate	
  their	
  content	
  
relationships	
  or	
  their	
  metadata	
  requirements	
  in	
  the	
  way	
  their	
  business	
  needed.	
  
	
  
Content	
  Analysis	
  –	
  This	
  is	
  best	
  performed	
  through	
  a	
  content	
  audit	
  addressing	
  the	
  
considerations	
  below	
  and	
  integrating	
  the	
  findings	
  to	
  your	
  requirements	
  list	
  to	
  make	
  sure	
  the	
  
DAM	
  can	
  handle	
  it.	
  
• Which	
  of	
  your	
  assets	
  are	
  essential	
  to	
  store	
  in	
  the	
  DAM?	
  	
  Can	
  you	
  phase	
  their	
  addition	
  to	
  
the	
  DAM	
  system?	
  
• Where	
  are	
  all	
  the	
  asset	
  types	
  currently	
  stored?	
  	
  Flesh	
  out	
  and	
  document	
  file	
  directories,	
  
personal	
  hard	
  drives,	
  Cloud	
  drives	
  like	
  Box	
  or	
  Dropbox,	
  other	
  repositories	
  such	
  as	
  CMS,	
  
MAM’s	
  or	
  PAM’s.	
  	
  This	
  list	
  is	
  something	
  you	
  will	
  use	
  again	
  and	
  again.	
  	
  It	
  will	
  also	
  help	
  
you	
  prioritize	
  what	
  goes	
  into	
  the	
  DAM,	
  who	
  creates	
  it,	
  who	
  approves	
  it	
  and	
  where	
  it	
  
needs	
  to	
  go.	
  	
  It	
  will	
  also	
  tell	
  you	
  how	
  much	
  information	
  (metadata)	
  is	
  known	
  about	
  that	
  
asset.	
  
• Do	
  the	
  assets	
  have	
  relationships	
  (Parent-­‐Child,	
  or	
  Child-­‐Cousin)	
  that	
  you	
  need	
  to	
  
maintain	
  and	
  track	
  in	
  the	
  new	
  DAM?	
  
• Will	
  you	
  include	
  asset	
  versions	
  or	
  only	
  final	
  assets	
  in	
  the	
  DAM?	
  	
  If	
  you	
  include	
  versions,	
  
how	
  will	
  the	
  system	
  manage	
  this?	
  
• Do	
  your	
  assets	
  have	
  a	
  Unique	
  Identifier	
  that	
  you	
  need	
  to	
  import?	
  	
  Or	
  do	
  you	
  have	
  to	
  
create	
  one	
  and	
  have	
  the	
  DAM	
  or	
  staff	
  link	
  any	
  asset	
  relationships?	
  	
  Does	
  this	
  UID	
  need	
  
to	
  conform	
  to	
  an	
  industry	
  standard	
  like	
  EIDR?	
  
	
  
 
Washington,	
  DC	
  |	
  Brussels	
  |	
  London	
  |	
  Los	
  Angeles	
  |	
  New	
  York	
  |	
  Zurich	
  
1100	
  Glendon	
  Avenue,	
  Suite	
  925	
  |	
  Los	
  Angeles,	
  CA	
  90024	
  |	
  310.954.2980	
  
www.optimityadvisors.com	
  
	
  
Add	
  the	
  findings	
  from	
  the	
  analysis	
  above	
  to	
  your	
  DAM	
  System	
  
Requirements	
  List.	
  
	
  
Metadata	
  Analysis	
  –	
  One	
  common	
  failing	
  when	
  a	
  DAM	
  system	
  goes	
  live	
  is	
  that	
  the	
  information	
  
users	
  need	
  is	
  not	
  where	
  they	
  need	
  it	
  or	
  further	
  investigation	
  outside	
  the	
  DAM	
  is	
  required	
  of	
  
users	
  to	
  determine	
  if	
  they	
  have	
  found	
  the	
  right	
  assets.	
  	
  This	
  is	
  how	
  Search	
  may	
  breakdown	
  in	
  a	
  
beautiful	
  new	
  system.	
  	
  Here	
  are	
  some	
  questions	
  to	
  ask	
  yourself	
  about	
  your	
  organization’s	
  
metadata	
  needs	
  to	
  mitigate	
  this	
  outcome:	
  
• For	
  each	
  asset	
  type	
  you	
  have	
  determined	
  to	
  bring	
  into	
  your	
  DAM,	
  what	
  metadata	
  
currently	
  exists?	
  	
  File	
  name	
  only?	
  	
  More	
  than	
  that?	
  	
  Is	
  additional	
  metadata	
  needed,	
  if	
  so,	
  
what?	
  	
  Is	
  the	
  metadata	
  consistent	
  with	
  what	
  others	
  in	
  the	
  organization	
  use?	
  	
  If	
  not,	
  you	
  
may	
  need	
  to	
  collaborate	
  across	
  teams	
  to	
  accept	
  a	
  common	
  Taxonomy	
  and	
  Metadata	
  
Model,	
  especially	
  if	
  you	
  are	
  planning	
  on	
  integrating	
  your	
  DAM	
  to	
  other	
  systems.	
  	
  Don’t	
  
forget	
  any	
  technical	
  metadata	
  (format,	
  resolution,	
  file	
  format,	
  file	
  size,	
  etc.)	
  or	
  
administrative	
  data	
  (created	
  by,	
  last	
  changed	
  by,	
  last	
  updated	
  by,	
  etc.)	
  
• If	
  metadata	
  is	
  the	
  fields	
  of	
  information	
  you	
  will	
  use	
  to	
  describe	
  your	
  asset,	
  you	
  also	
  have	
  
to	
  consider	
  if	
  those	
  fields	
  should	
  have	
  restricted	
  choices	
  on	
  data	
  entry	
  to	
  reduce	
  errors.	
  	
  
For	
  each	
  field,	
  list	
  these	
  restricted	
  values	
  and	
  get	
  approval	
  from	
  your	
  stakeholders.	
  	
  	
  
• Note	
  that	
  some	
  asset	
  types	
  may	
  have	
  different	
  metadata	
  fields	
  and	
  values.	
  	
  Can	
  the	
  
DAM	
  support	
  this	
  by	
  only	
  displaying	
  needed	
  fields	
  by	
  asset	
  type?	
  	
  Can	
  the	
  system	
  
accomodate	
  dropdown	
  lists	
  for	
  specific	
  fields?	
  
• Do	
  you	
  need	
  to	
  have	
  the	
  ability	
  to	
  select	
  one	
  value	
  from	
  a	
  field,	
  that	
  in	
  turn	
  determines	
  
what	
  appears	
  in	
  the	
  next	
  field,	
  and	
  so	
  on?	
  	
  This	
  is	
  called	
  cascading	
  metadata	
  and	
  when	
  it	
  
exists,	
  it	
  greatly	
  reduces	
  input	
  errors.	
  	
  If	
  so,	
  carefully	
  document	
  those	
  scenarios	
  that	
  
exist.	
  
• Will	
  metadata	
  templates	
  be	
  needed?	
  For	
  some	
  assets,	
  data	
  entry	
  can	
  be	
  minimized	
  
when	
  certain	
  fields	
  are	
  default-­‐entered	
  by	
  the	
  system	
  based	
  on	
  asset	
  type,	
  some	
  other	
  
user	
  selection,	
  or	
  when	
  the	
  assets	
  are	
  coming	
  from	
  another	
  system.	
  	
  Determine	
  if	
  this	
  is	
  
needed	
  and	
  that	
  the	
  DAM	
  can	
  accommodate	
  it.	
  
• Where	
  do	
  the	
  assets	
  need	
  to	
  go	
  and	
  what	
  metadata	
  needs	
  to	
  go	
  with	
  them?	
  	
  This	
  is	
  a	
  
final	
  check	
  to	
  make	
  sure	
  you’re	
  not	
  forgetting	
  anyone	
  downstream	
  that	
  requires	
  certain	
  
assets	
  and	
  their	
  metadata	
  for	
  specific	
  purposes.	
  
	
  
Workflow	
  Maps	
  
While	
  not	
  always	
  required,	
  I’m	
  a	
  huge	
  fan	
  of	
  swim	
  lane	
  workflows	
  so	
  that	
  end	
  users	
  can	
  see	
  
visually	
  the	
  interplay	
  of	
  assets	
  and	
  data	
  as	
  they	
  move	
  through	
  their	
  processes.	
  	
  These	
  visual	
  
workflows	
  may	
  also	
  tease	
  out	
  additional	
  requirements	
  or	
  “ah	
  ha!”	
  moments	
  and	
  also	
  confirm	
  
that	
  your	
  understanding	
  of	
  their	
  asset	
  processes	
  are	
  accurate.	
  	
  These	
  workflows	
  will	
  also	
  be	
  a	
  
huge	
  help	
  to	
  your	
  selected	
  DAM	
  vendor,	
  along	
  with	
  the	
  analysis	
  described	
  above,	
  and	
  can	
  be	
  
retooled	
  for	
  DAM	
  training	
  later.	
  
	
   	
  
 
Washington,	
  DC	
  |	
  Brussels	
  |	
  London	
  |	
  Los	
  Angeles	
  |	
  New	
  York	
  |	
  Zurich	
  
1100	
  Glendon	
  Avenue,	
  Suite	
  925	
  |	
  Los	
  Angeles,	
  CA	
  90024	
  |	
  310.954.2980	
  
www.optimityadvisors.com	
  
	
  
	
  
Define	
  demo	
  scenarios	
  around	
  your	
  DAM	
  system	
  requirements	
  
Finally,	
  when	
  it	
  comes	
  to	
  DAM	
  selection	
  time,	
  be	
  strict	
  about	
  asking	
  your	
  final	
  vendor	
  selections	
  
to	
  demonstrate	
  YOUR	
  workflows	
  with	
  YOUR	
  data.	
  	
  Give	
  them	
  enough	
  notice	
  to	
  do	
  this	
  properly.	
  	
  
If	
  the	
  vendor	
  tries	
  to	
  sidestep	
  this,	
  it	
  should	
  tell	
  you	
  something:	
  	
  they’re	
  interested	
  in	
  selling	
  
their	
  product,	
  not	
  demonstrating	
  that	
  their	
  product	
  will	
  be	
  a	
  success	
  for	
  YOU.	
  
	
  
Julia	
  Goodwin	
  is	
  a	
  Senior	
  Manager	
  within	
  the	
  Information	
  Management	
  practice	
  at	
  Optimity	
  
Advisors.	
  
	
  

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Don't Cut the DAM Check Yet Blog

  • 1.   Washington,  DC  |  Brussels  |  London  |  Los  Angeles  |  New  York  |  Zurich   1100  Glendon  Avenue,  Suite  925  |  Los  Angeles,  CA  90024  |  310.954.2980   www.optimityadvisors.com         Don’t  Cut  the  DAM  Check  Yet!    Content  and  Metadata  Analysis  are   Fundamental  Requirements  Before  Selecting  a  DAM   By  Julia  Goodwin   There  are  a  wide  array  of  DAM  vendors  from  on  prem  to  cloud  to  hybrid  that  can  provide  a   variety  of  asset  management  capabilities  for  your  organization.    They  have  a  wide  range  of   features  and  prices.    Most  are  extremely  slick  looking  and  it’s  easy  to  fall  in  love.    Many  times,   companies  go  straight  to  the  chase  and  purchase  the  DAM  system  they’re  interested  in.    Worse,   they  make  their  decision  with  a  list  of  requirements  that  may  not  adequately  consider  file   formats,  workflow,  and  logical  and  “physical”  asset  metadata.    Before  choosing  a  DAM  system,   don’t  make  the  mistake  of  leaving  holistic  content  and  metadata  analysis  out  of  your   requirements.         Thorough  analyses  of  content  and  metadata  are  important  for  defining  DAM  system   requirements  that  capture  a  complete  picture  of  an  organization’s  needs.  Here  are  some   important  analyses  to  conduct  when  defining  requirements  for  evaluating  DAM  systems.     Without  performing  these,  you  may  end  up  with  a  solution  that  does  not  fit  your  organization   and  may  require  costly  enhancement  charges.    I  have  worked  with  companies  in  the  past  that   bought  a  DAM  system  only  to  find  out  later  that  it  could  not  accommodate  their  content   relationships  or  their  metadata  requirements  in  the  way  their  business  needed.     Content  Analysis  –  This  is  best  performed  through  a  content  audit  addressing  the   considerations  below  and  integrating  the  findings  to  your  requirements  list  to  make  sure  the   DAM  can  handle  it.   • Which  of  your  assets  are  essential  to  store  in  the  DAM?    Can  you  phase  their  addition  to   the  DAM  system?   • Where  are  all  the  asset  types  currently  stored?    Flesh  out  and  document  file  directories,   personal  hard  drives,  Cloud  drives  like  Box  or  Dropbox,  other  repositories  such  as  CMS,   MAM’s  or  PAM’s.    This  list  is  something  you  will  use  again  and  again.    It  will  also  help   you  prioritize  what  goes  into  the  DAM,  who  creates  it,  who  approves  it  and  where  it   needs  to  go.    It  will  also  tell  you  how  much  information  (metadata)  is  known  about  that   asset.   • Do  the  assets  have  relationships  (Parent-­‐Child,  or  Child-­‐Cousin)  that  you  need  to   maintain  and  track  in  the  new  DAM?   • Will  you  include  asset  versions  or  only  final  assets  in  the  DAM?    If  you  include  versions,   how  will  the  system  manage  this?   • Do  your  assets  have  a  Unique  Identifier  that  you  need  to  import?    Or  do  you  have  to   create  one  and  have  the  DAM  or  staff  link  any  asset  relationships?    Does  this  UID  need   to  conform  to  an  industry  standard  like  EIDR?    
  • 2.   Washington,  DC  |  Brussels  |  London  |  Los  Angeles  |  New  York  |  Zurich   1100  Glendon  Avenue,  Suite  925  |  Los  Angeles,  CA  90024  |  310.954.2980   www.optimityadvisors.com     Add  the  findings  from  the  analysis  above  to  your  DAM  System   Requirements  List.     Metadata  Analysis  –  One  common  failing  when  a  DAM  system  goes  live  is  that  the  information   users  need  is  not  where  they  need  it  or  further  investigation  outside  the  DAM  is  required  of   users  to  determine  if  they  have  found  the  right  assets.    This  is  how  Search  may  breakdown  in  a   beautiful  new  system.    Here  are  some  questions  to  ask  yourself  about  your  organization’s   metadata  needs  to  mitigate  this  outcome:   • For  each  asset  type  you  have  determined  to  bring  into  your  DAM,  what  metadata   currently  exists?    File  name  only?    More  than  that?    Is  additional  metadata  needed,  if  so,   what?    Is  the  metadata  consistent  with  what  others  in  the  organization  use?    If  not,  you   may  need  to  collaborate  across  teams  to  accept  a  common  Taxonomy  and  Metadata   Model,  especially  if  you  are  planning  on  integrating  your  DAM  to  other  systems.    Don’t   forget  any  technical  metadata  (format,  resolution,  file  format,  file  size,  etc.)  or   administrative  data  (created  by,  last  changed  by,  last  updated  by,  etc.)   • If  metadata  is  the  fields  of  information  you  will  use  to  describe  your  asset,  you  also  have   to  consider  if  those  fields  should  have  restricted  choices  on  data  entry  to  reduce  errors.     For  each  field,  list  these  restricted  values  and  get  approval  from  your  stakeholders.       • Note  that  some  asset  types  may  have  different  metadata  fields  and  values.    Can  the   DAM  support  this  by  only  displaying  needed  fields  by  asset  type?    Can  the  system   accomodate  dropdown  lists  for  specific  fields?   • Do  you  need  to  have  the  ability  to  select  one  value  from  a  field,  that  in  turn  determines   what  appears  in  the  next  field,  and  so  on?    This  is  called  cascading  metadata  and  when  it   exists,  it  greatly  reduces  input  errors.    If  so,  carefully  document  those  scenarios  that   exist.   • Will  metadata  templates  be  needed?  For  some  assets,  data  entry  can  be  minimized   when  certain  fields  are  default-­‐entered  by  the  system  based  on  asset  type,  some  other   user  selection,  or  when  the  assets  are  coming  from  another  system.    Determine  if  this  is   needed  and  that  the  DAM  can  accommodate  it.   • Where  do  the  assets  need  to  go  and  what  metadata  needs  to  go  with  them?    This  is  a   final  check  to  make  sure  you’re  not  forgetting  anyone  downstream  that  requires  certain   assets  and  their  metadata  for  specific  purposes.     Workflow  Maps   While  not  always  required,  I’m  a  huge  fan  of  swim  lane  workflows  so  that  end  users  can  see   visually  the  interplay  of  assets  and  data  as  they  move  through  their  processes.    These  visual   workflows  may  also  tease  out  additional  requirements  or  “ah  ha!”  moments  and  also  confirm   that  your  understanding  of  their  asset  processes  are  accurate.    These  workflows  will  also  be  a   huge  help  to  your  selected  DAM  vendor,  along  with  the  analysis  described  above,  and  can  be   retooled  for  DAM  training  later.      
  • 3.   Washington,  DC  |  Brussels  |  London  |  Los  Angeles  |  New  York  |  Zurich   1100  Glendon  Avenue,  Suite  925  |  Los  Angeles,  CA  90024  |  310.954.2980   www.optimityadvisors.com       Define  demo  scenarios  around  your  DAM  system  requirements   Finally,  when  it  comes  to  DAM  selection  time,  be  strict  about  asking  your  final  vendor  selections   to  demonstrate  YOUR  workflows  with  YOUR  data.    Give  them  enough  notice  to  do  this  properly.     If  the  vendor  tries  to  sidestep  this,  it  should  tell  you  something:    they’re  interested  in  selling   their  product,  not  demonstrating  that  their  product  will  be  a  success  for  YOU.     Julia  Goodwin  is  a  Senior  Manager  within  the  Information  Management  practice  at  Optimity   Advisors.