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Sergio Juarez, Elemica – “From Big Data to Value: The Power of Master Data Management”

Elemica
Elemica

Presentation from Elemica's reveal2014 Conference

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From Big Data
to Value
The Power of Master
Data Management 2.0
Sergio Juarez
SVP Elemica EMEA & LATAM
Reveal Oct 2014
Why	
  Now?	
  
What	
  To	
  Do?	
  
How	
  To	
  Do	
  It?	
  
What’s	
  Next?	
  
Agenda
Master Data Management
Today’s Topic
3	
  
Defini6on	
  	
  
	
  
Master	
  Data	
  Management	
  (MDM)	
  combines	
  Data	
  
Governance	
  Prac6ces	
  with	
  SoCware	
  Tools	
  in	
  an	
  effort	
  to	
  
help	
  organiza6ons	
  achieve	
  a	
  "single	
  version	
  of	
  the	
  truth"	
  
of	
  informa6on	
  across	
  systems	
  and	
  business	
  units.	
  
Why Now?
Market Trends
5	
  
1.  MDM	
  in	
  the	
  Cloud:	
  
	
  
“On-­‐premises	
  MDM	
  solu6ons	
  are	
  increasingly	
  
integrated	
  with	
  soCware-­‐as-­‐a-­‐service	
  applica6ons,	
  
and	
  we	
  see	
  MDM	
  technology	
  star6ng	
  to	
  be	
  deployed	
  
in	
  the	
  cloud	
  for	
  line-­‐of-­‐business	
  purposes	
  and	
  specific	
  
business	
  ini6a6ves.”	
  
Source:	
  John	
  Radcliffe,	
  Research	
  Vice	
  President	
  at	
  
Gartner	
  
1.  MDM	
  in	
  the	
  Cloud	
  
2.  Maturing	
  SoCware	
  &	
  Technology:	
  	
  
	
  
The	
  sales	
  of	
  MDM	
  soCware	
  grows	
  at	
  21%	
  annually	
  
es6mated	
  to	
  an	
  $	
  2,8	
  bn	
  in	
  2014.	
  	
  
Source:	
  Gartner	
  
1.  MDM	
  in	
  the	
  Cloud	
  
2.  Maturing	
  SoCware	
  &	
  Technology	
  
3.  Rise	
  of	
  Informa6on	
  Flow:	
  
	
  
Worldwide	
  informa6on	
  volume	
  is	
  growing	
  at	
  a	
  
minimum	
  rate	
  of	
  59	
  percent	
  annually	
  	
  
Sources:	
  Gartner	
  &	
  The	
  Data	
  Management	
  Associa6on	
  
(DAMA)	
  
1.  MDM	
  in	
  the	
  Cloud	
  
2.  Maturing	
  SoCware	
  &	
  Technology	
  
3.  Rise	
  of	
  Informa6on	
  Flow	
  
4.  Acknowledgement	
  of	
  the	
  Importance	
  of	
  Data:	
  
	
  
By	
  2015,	
  25%	
  of	
  large	
  global	
  organiza6ons	
  will	
  have	
  
appointed	
  Chief	
  Data	
  Officers	
  (CDO):	
  as	
  Big	
  Data	
  is	
  
changing	
  the	
  way	
  organiza6ons	
  do	
  business	
  there	
  is	
  
both	
  opportunity	
  and	
  risk	
  in	
  informa6on.	
  
Source:	
  Debra	
  Logan,	
  Research	
  Vice	
  President	
  at	
  
Gartner	
  
1.  MDM	
  in	
  the	
  Cloud	
  
2.  Maturing	
  SoCware	
  &	
  Technology	
  
3.  Rise	
  of	
  Informa6on	
  Flow	
  
4.  Acknowledgement	
  of	
  the	
  Importance	
  of	
  Data	
  
5.  Costs	
  of	
  Data	
  Pollu6on:	
  	
  
	
  
Approximately	
  15-­‐25%	
  of	
  opera6ng	
  expense	
  of	
  almost	
  
all	
  organiza6ons	
  are	
  wasted	
  due	
  to	
  data	
  quality	
  issues.	
  	
  
Source:	
  The	
  Data	
  Management	
  Associa6on	
  (DAMA)	
  
1.  MDM	
  in	
  the	
  Cloud	
  
2.  Maturing	
  SoCware	
  &	
  Technology	
  
3.  Rise	
  of	
  Informa6on	
  Flow	
  
4.  Acknowledgement	
  of	
  the	
  Importance	
  of	
  Data	
  
5.  Costs	
  of	
  Data	
  Pollu6on	
  
6.  Corporate	
  Data	
  Silos:	
  
	
  
Data	
  is	
  the	
  lifeblood	
  of	
  every	
  digital	
  organiza6on,	
  but	
  
businesses	
  are	
  struggling	
  to	
  access,	
  share,	
  	
  and	
  analyze	
  
much	
  of	
  the	
  data	
  they	
  already	
  have.	
  Through	
  2015,	
  
85%	
  of	
  Fortune	
  500	
  organiza6ons	
  will	
  be	
  unable	
  to	
  
exploit	
  Big	
  Data	
  for	
  compe66ve	
  advantage.	
  	
  
Source:	
  Gartner	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  
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Sergio Juarez, Elemica – “From Big Data to Value: The Power of Master Data Management”

  • 1. From Big Data to Value The Power of Master Data Management 2.0 Sergio Juarez SVP Elemica EMEA & LATAM Reveal Oct 2014
  • 2. Why  Now?   What  To  Do?   How  To  Do  It?   What’s  Next?   Agenda Master Data Management
  • 3. Today’s Topic 3   Defini6on       Master  Data  Management  (MDM)  combines  Data   Governance  Prac6ces  with  SoCware  Tools  in  an  effort  to   help  organiza6ons  achieve  a  "single  version  of  the  truth"   of  informa6on  across  systems  and  business  units.  
  • 5. Market Trends 5   1.  MDM  in  the  Cloud:     “On-­‐premises  MDM  solu6ons  are  increasingly   integrated  with  soCware-­‐as-­‐a-­‐service  applica6ons,   and  we  see  MDM  technology  star6ng  to  be  deployed   in  the  cloud  for  line-­‐of-­‐business  purposes  and  specific   business  ini6a6ves.”   Source:  John  Radcliffe,  Research  Vice  President  at   Gartner   1.  MDM  in  the  Cloud   2.  Maturing  SoCware  &  Technology:       The  sales  of  MDM  soCware  grows  at  21%  annually   es6mated  to  an  $  2,8  bn  in  2014.     Source:  Gartner   1.  MDM  in  the  Cloud   2.  Maturing  SoCware  &  Technology   3.  Rise  of  Informa6on  Flow:     Worldwide  informa6on  volume  is  growing  at  a   minimum  rate  of  59  percent  annually     Sources:  Gartner  &  The  Data  Management  Associa6on   (DAMA)   1.  MDM  in  the  Cloud   2.  Maturing  SoCware  &  Technology   3.  Rise  of  Informa6on  Flow   4.  Acknowledgement  of  the  Importance  of  Data:     By  2015,  25%  of  large  global  organiza6ons  will  have   appointed  Chief  Data  Officers  (CDO):  as  Big  Data  is   changing  the  way  organiza6ons  do  business  there  is   both  opportunity  and  risk  in  informa6on.   Source:  Debra  Logan,  Research  Vice  President  at   Gartner   1.  MDM  in  the  Cloud   2.  Maturing  SoCware  &  Technology   3.  Rise  of  Informa6on  Flow   4.  Acknowledgement  of  the  Importance  of  Data   5.  Costs  of  Data  Pollu6on:       Approximately  15-­‐25%  of  opera6ng  expense  of  almost   all  organiza6ons  are  wasted  due  to  data  quality  issues.     Source:  The  Data  Management  Associa6on  (DAMA)   1.  MDM  in  the  Cloud   2.  Maturing  SoCware  &  Technology   3.  Rise  of  Informa6on  Flow   4.  Acknowledgement  of  the  Importance  of  Data   5.  Costs  of  Data  Pollu6on   6.  Corporate  Data  Silos:     Data  is  the  lifeblood  of  every  digital  organiza6on,  but   businesses  are  struggling  to  access,  share,    and  analyze   much  of  the  data  they  already  have.  Through  2015,   85%  of  Fortune  500  organiza6ons  will  be  unable  to   exploit  Big  Data  for  compe66ve  advantage.     Source:  Gartner                                
  • 7. Value Enablers 7   Supply  of  Goods  &  Services   Supplier Mgt Strategy Development Governance  &   Organisa6onal   Development   Category  Planning   Sourcing IT  People   DATA   Managing the Enablers Supply  Planning  &  Control   Demand Mgt   V a l u e     € 1   3   4   Policies  &  Processes  lock  in  Value   Years   Sourcing  &  Procurement  Value  Genera9on Supply  Chain  Organiza9onal  Pyramid Demand  Data  Insight     Enables  Value   Sourcing  Creates  Value     eSourcing  Accelerates  Value       These Enablers are prerequisites for success… Sourcing won’t create value without Demand Data Insight. eProcurement     Sustains  Value    
  • 8. Many Value Areas of Improved Master Data 8   Your  Customers  and   Suppliers:   “The  use  of  industry   standard  classifica6ons   makes  us  all  speaking  the   same  language  which  allows   instant  recogni6on  of  parts   and  services,  eg  for  price   quota6ons.”   Your  Engineers:   “Our  produc6vity   went  up  with  15%   due  to  the  increased   accuracy  and   availability  of    parts,   while  we  managed  to   reduce  down  6me   with  2%!”   “Our  Inventory   Costs  went  down   by  an  average  8%   as  we  improved   stock  insight,   removed  dead   stock  and   duplicates.”   Your  Procurement:   “We  managed  to  bring   costs  down  as  we   improved  on  Demand   Insight,  product   descrip6ons  to  tender   with,    alterna6ve  products   for  lower  costs  or  higher   quality,  and  we  easily   iden6fy  suppliers  to  buy   from!”   Your  Stores  Manager:  
  • 9. How To Do It?
  • 10. Common Data Issues            Iden6fied,  verified  and  amended    Duplicated  Items  1                Standardized  Automa6on      Inconsistent  Naming   Conven6ons  3   Include  different  dic6onaries     and  language  packs    Different  Languages  across                mul6ple  Regions  4                Linking  (meta)  data  enriches  and   classifies  available  data    Poor  or  Non  Existent  Part                Descrip6ons  5              Cleansed  Data  can  be  fed  back  into            your  ERP  (SAP,  Oracle  etc)    Different  copies  of  Master  Data  6   Common  DATA  ISSUES   Poten9al  SOLUTIONS   Replace  with  Technical  Data     or  use  bemer  wording/defini6ons    Descrip6ons  include  Commercial   Data  or  don’t  fit  audience  2   10  
  • 11. How to Organize? ERP Add on Tool with connector 11   With  this  func6onality  your  data  goes   through  a  process  to  become  more:   1. Complete:     Required  amributes  are  available  for  all   needs  and  users,  including  suppliers,   engineers,  foreign  countries.     2. Consistent:   Naming  conven6ons  are  applied   consistently.   3. Conformed:   Industry  standards  and  classifica6ons   are  applied  correctly.   4. Accurate:   Data  free  of  typo’s  and  misleading   abbrevia6ons.   The  Data  Cleansing  Tool  is  connected  to  your   ERP  and  brings  the  new  func6onality.     On- or Offline Knowledge updates
  • 12. Initial Cleansing Process Product   Iden9fica9on   1   2   3   4   Standardiza9on   &   Enrichment   Language   Transla9on   Duplicate   Removal   1. Interpret  Data;   including   Abbrevia6ons,   Typos  etc   2. Match   Parameters     3. Score  Outcome   as  to  Funnel   Manual   Workforce  to   Problem  Areas   1. Enrich  Data  with   External  Sources  like   Supplier  Catalogues   2. Apply  Naming   Conven6ons     3. Replace  Commercial   Data  with  Technical   Data   4. Classify  to  Deepest   Category  of  Various   Standards   5. Separate  Vendors   from  Manufacturers   1. Recode  Fields  for   different  Target   Groups  like   Suppliers,   Engineers,   Procurement   2. Transla6on  into   Different   Languages   12   1. Iden6fica6on  of   Duplicate  Parts   2. Iden6fica6on  of   Similar  Parts  eg   OE  vs   Commodity,  or   Single  Items  vs   Kits   3. Insight  on   Volumes  for   Duplicate  Parts,   Stock  Value  and   Store  Loca6ons  
  • 14. Next Steps 14   1.  Get  Your  Priori6es  Straight:   Focus  on:   •  Short  Term  vs    Long  Term?   •  Manual  vs    Automated  Cleansing?   •  Outsourced  vs  in-­‐house?   •  Category  Items  vs   All  Supply  Chain  Items?   •  Reduce  Pain  Points  vs     Increase  Value  Areas?           Value   Streams   As  is   Time  line    THINK  BIG    start  small    Scale  Fast     To     be   1.  Get  Your  Priori6es  Straight   2.  Scope  the  Ini6a6ve:     •  Which  Categories  And  Geographical  Loca6ons  Are  In  Scope?   •  Which  Languages  And  Classifica6on  Standards  To   Implement?   •  Which  Domain  Strategy  Shall  Be  Considered?   •  Which  Tools  And  Processes  Are  Affected?       1.  Get  Your  Priori6es  Straight   2.  Scope  the  Ini6a6ve     3.  Assess  Opportunity:     Experience  shows  the  following  metrics  could  be  achieved:   KPI  Potential   Savings  Typical   Savings  Inventory  cost  reduction   5-­‐15%   8% Procurement  cost  reduction   2-­‐10%   5% Equipment  downtime  reduction   2-­‐5%   3% Supply  chain  &  storage  cost  reduction   8-­‐12%   10% Increased  procurement  &  engineering  worker  productivity   8-­‐20%   15% Reduced  Accounting  Compliance  Risk   2-­‐5%   3% 1.  Get  your  priori6es  straight   2.  Scope  the  Ini6a6ve     3.  Assess  Opportunity     4.  Select  &  Implement      For  today  you  can:     a)  Request  a  Demo  to  Elemica   b)  Amend  the  Breakout  Session  ‘Inside  view  on   Master  Data  mgt  Tooling’